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Hamiltonian Lattice Gauge Theories: emergent properties from Tensor Network methods

T0 review · 4 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read A dressed-site formalism enables the first tensor-network simulations of two-dimensional SU(2) Yang-Mills lattice gauge theory, with an exact bosonic gauge-invariant encoding.

desk verdict A well-organized thesis compiling the author's own significant tensor-network results for SU(2) lattice gauge theories, but the headline phase diagram and scarring claims rest on a truncation whose validity is asserted, not demonstrated, and the rishon decomposition is left unproven. read the letter →

arxiv 2501.11115 v2 pith:N3KGUGTN submitted 2025-01-19 hep-lat cond-mat.str-elphysics.comp-phquant-ph

classification hep-latcond-mat.str-elphysics.comp-phquant-ph
keywords latticegaugetheorytensornetworksdressed-siteformalismSU(2)Yang-Millsquantummany-bodyscarsfermion-to-qubitmappingHilbertcurveHamiltoniansimulation
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This thesis claims that the dressed-site formalism, which fuses each lattice site with the neighboring truncated gauge-link degrees of freedom, gives an exact, bosonic, gauge-invariant reformulation of Hamiltonian lattice gauge theories with controllable truncation. Applied to SU(2) Yang-Mills with dynamical staggered fermions, it makes two-dimensional tensor-network simulations possible for the first time, producing a phase diagram at zero and finite baryon density plus a first observation of quantum many-body scarring in a non-Abelian lattice gauge theory. The broader claim is that tensor networks can access regimes, real-time dynamics and finite density, where Monte Carlo methods are blocked by the sign problem. If correct, the formalism provides a practical route from Abelian toy models toward non-Abelian theories relevant for QCD, and a benchmark target for quantum simulators.

What carries the argument

The central object is the dressed site: a composite degree of freedom formed by fusing a staggered-fermion matter site with the rishon modes of all attached half-links. Each truncated gauge link is split into two rishons; the parallel transporter becomes a rishon bilinear, and the requirement that the two sides of a link sit in the same irreducible representation becomes an Abelian $\mathbb Z_2$ link symmetry. Gauss law is then a purely internal constraint, and the effective Hamiltonian is obtained by projecting onto its kernel, yielding local, bosonic operators.

What would settle it

Repeat the reported two-dimensional ground-state phase diagram and the one-dimensional scar-revival calculations with link truncations $j_{\max}=1$, $3/2$, and higher on the same lattice sizes; if the phase-boundary locations and the revival fidelity of the scarred states change substantially or disappear as $j_{\max}$ is increased, the claimed signatures are artifacts of the truncation rather than properties of full SU(2) Yang-Mills.

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Extended reading notes

Core claim

Within the hardcore-gluon truncation ($j_{\max}=1/2$) of SU(2) Yang-Mills, the parallel transporter on each link is decomposed into two fermionic rishon modes, one per half-link; the rishons are then absorbed into the adjacent matter site, and Gauss' law is imposed exactly by restricting to the kernel of the gauge generators. The resulting dressed-site Hamiltonian is made entirely of bosonic operators acting on a 30-dimensional local basis in two spatial dimensions, so fermionic statistics and gauge constraints no longer need to be enforced dynamically. Using this representation, the thesis reports the first tensor-network ground-state and time-evolution simulations of two-dimensional SU(2) Yang-Mills lattice gauge theory, including a magneto-electric crossover, baryonic spectrum, a finite-density baryon-liquid phase, and topological sectors, together with quantum many-body scarring dynamics in the one-dimensional truncation.

Load-bearing premise

The load-bearing premise is that the minimal hardcore-gluon truncation, keeping only the $j=0$ and $j=1/2$ representations of the SU(2) link field, faithfully captures the low-energy physics in the regimes where the phase diagram and scarring dynamics are computed, although the thesis states this truncation is reliable mainly for strong coupling $g\gg1$.

Editorial extensions

If this is right

  • Gauss law is satisfied by construction, so no large penalty terms are needed to keep the simulation in the physical gauge-invariant sector.
  • Because every term in the effective Hamiltonian is bosonic, tensor-network algorithms avoid both the Monte Carlo sign problem and long-range fermion-to-qubit encodings.
  • The compact local dimensions, 30 per site in the two-dimensional hardcore-gluon case, make exact diagonalization and moderate-bond tensor networks feasible, while the dressed-site dimension grows rapidly with truncation level.
  • The reported finite-density phase diagram and non-equilibrium scar dynamics are concrete observables that can serve as benchmarks for future quantum simulations of non-Abelian gauge theories.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the exactness of the dressed-site mapping holds at every truncation level, the same construction should extend to SU(3) Yang-Mills; the practical obstacle would be the much larger local Hilbert space rather than gauge invariance.
  • The thesis reports scar signatures at higher link truncations but not extrapolated to the continuum; a direct test is whether revivals and the scar tower survive as $j_{\max}$ grows toward the weak-coupling limit.
  • The fermion-to-qubit mapping developed for general lattice fermion theories could be applied to other fermionic condensed-matter models, where it may reduce the qubit overhead of digital quantum simulation beyond the Hubbard example studied here.
  • The Hilbert-curve ordering result and the dressed-site formalism are developed in parallel; combining them systematically in two-dimensional lattice gauge theory simulations is a natural next step that the thesis does not itself carry out.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 4 minor

Summary. This manuscript, a PhD thesis posted on arXiv, develops a dressed-site formalism for Hamiltonian lattice gauge theories in which gauge links are truncated by an energy cutoff, decomposed into fermionic rishon modes, and fused with matter sites into gauge-invariant dressed sites with bosonic statistics. The formalism is applied to SU(2) Yang-Mills with staggered matter in two spatial dimensions, where the author reports ground-state phase diagrams, baryonic spectra, a baryon-liquid phase, topological observables, and, in a one-dimensional truncated model, quantum many-body scarring dynamics. The thesis also presents a fermion-to-qubit mapping for general lattice fermion theories, an analysis of space-filling curves for tensor-network locality, and a roadmap for high-performance tensor-network simulations of lattice gauge theories.

Significance. If the central formal claim is correct, the dressed-site construction provides an exact, gauge-invariant, bosonic encoding of truncated non-Abelian gauge theories, and the reported (2+1)D SU(2) simulations would be a genuinely new tensor-network application. The manuscript is also useful as a systematic review of tensor-network methods for lattice gauge theories, and the accompanying ED-LGT code and the quantum-simulation oriented qudit formulation are concrete contributions that go beyond a purely pedagogical treatment. However, the significance of the headline physical results—phase diagram and many-body scarring—depends on two points that are not adequately established in the manuscript: the exactness of the rishon decomposition of the parallel transporter for arbitrary truncation, and the quantitative validity of the hardcore-gluon jmax=1/2 truncation in the regime where the reported transitions and dynamics occur. The paper should be credited for including numerical evidence of truncation convergence for a single QED plaquette, but that evidence is not carried over to the SU(2) calculations.

major comments (4)
  1. [Sec. 1.3.3, Eqs. (1.3.23)–(1.3.31)] The central formal step—the rishon decomposition of the truncated SU(2) parallel transporter—is asserted rather than proved. After Eq. (1.3.27) the text says “It is possible to show that this construction is indeed compatible with the explicit form of the parallel transport reported in Eq. (1.3.10),” but no proof or explicit algebraic verification is given. Since all subsequent dressed-site operators and all numerical results in Chapters 3 and 4 inherit this equivalence, this is load-bearing. The author should either provide a complete derivation, or a reproducible symbolic/numerical verification that the right-hand side of Eq. (1.3.23) equals the Clebsch-Gordan matrix elements of Eq. (1.3.10) for all allowed j and for generic jmax.
  2. [Sec. 1.3.4, Eq. (1.3.45)] The ‘operative defermionized Hamiltonian’ is written down without a complete step-by-step derivation. In particular, the passage from the rishon form of the hopping and plaquette terms to the projected dressed-site operators uses the projection Oeff = M†OM of Eq. (1.2.5), but the text does not show how the 5×5 or 30×30 dressed-site matrices are obtained, what the explicit coefficients of the corner operators are, or how the Gauss-law kernel M is computed in practice. This is not merely a presentation issue, because the correctness of Eq. (1.3.45) is the basis for every reported numerical result. The author should add a derivation or an appendix with the operator construction, and should state explicitly which results are independently reproducible from the released ed-lgt code.
  3. [Sec. 1.3.5 and Ch. 3, esp. Sec. 3.2 and 3.7] The hardcore-gluon truncation jmax=1/2 is described in Sec. 1.3.5 as a good approximation only in the strong-coupling limit g >> 1, and Sec. 1.3.2 states that weak-coupling continuum physics requires larger representations. Yet Chapter 3 reports a magneto-electric transition and a phase diagram for (2+1)D SU(2) Yang-Mills. The magneto-electric crossover occurs where the magnetic plaquette term, suppressed by 1/g^2, balances the electric term; by the author’s own criterion this is precisely the regime where jmax=1/2 is least justified. No convergence check in jmax is reported for the 2D equilibrium results, and the single-plaquette convergence study of Fig. 1.3 is performed for U(1), not SU(2). The author should either (i) identify the coupling range of the reported transition and demonstrate that jmax=1/2 is reliable there, or (ii) explicitly rephrase the Chapter 3 results as properties of the truncated hardcore-gluon model rather than of SU(2) Yang-Mills.
  4. [Sec. 1.4.5, Fig. 1.3] The text uses the QED plaquette convergence result ℓ* ~ g^-1 to motivate the statement that “an analogous inverse dependence of the minimal gauge truncation on the coupling is expected for non-Abelian LGT in arbitrary dimensions.” This expectation is not demonstrated, and it is invoked in discussing the need for truncation compression. The author should either supply a corresponding single-plaquette or small-lattice convergence study for SU(2), or clearly label this statement as an unsupported conjecture. Since the abstract claims the first TN simulations of the 2D SU(2) system, this missing truncation benchmark is directly relevant to whether the reported physics is the physics of the full gauge theory.
minor comments (4)
  1. [Throughout] The manuscript contains numerous typographical and notational infelicities, including “Cliffor’s algebra” (Sec. 1.1.4), the anticommutator sign in Eq. (1.3.4), duplicated figure labels (Fig. 1.1 and Fig. 1.2), and inconsistent placement of subscripts such as ψˆ†n,α vs ψˆ†n,α. A careful proofreading pass would substantially improve readability.
  2. [Sec. 1.3.3, Eq. (1.3.27)] The definition of the rishon operator ζˆg(r) is hard to parse: the lower limit of the sum is written as “jmax− 1/2” and the index m− in the ket ⟨j+1/2, m−+1/2| is not defined. This should be restated with explicit bounds and a clear explanation of the truncated Hilbert space to allow the reader to verify Eq. (1.3.27).
  3. [Sec. 3.1 and Abstract] The abstract’s claim of “first TN simulations” relies on the author’s own publication [2]. A short review of prior tensor-network or other Hamiltonian approaches to (1+1)D and (2+1)D non-Abelian gauge theories would help place this claim in context and distinguish a first in a specific truncation scheme from a first for the full model.
  4. [Sec. 1.3.5, Eqs. (1.3.57a)–(1.3.57d)] In the 1D qudit Hamiltonian Eq. (1.3.59), the operator Mˆ n appears in the mass term but was not explicitly defined in the preceding equations; Eq. (1.3.57c) defines Nˆ n, and the text later uses Mˆ n. The author should define Mˆ n explicitly or replace it by Nˆ n for consistency.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the dressed-site derivation and the numerical simulations are self-contained, while the hardcore-gluon truncation is an explicit validity limitation rather than a circular input.

full rationale

The thesis's derivation chain is not circular at the equation level. The lattice Hamiltonian is obtained from the standard Kogut-Susskind construction, the gauge-field truncation is defined by a Casimir cutoff, the rishon decomposition is introduced as an algebraic rewriting, and the dressed-site operators are obtained by projecting onto the kernel of the Gauss-law constraint. The reported phase diagram and scar dynamics are outputs of explicit diagonalizations and tensor-network simulations of that well-defined truncated Hamiltonian, not fits designed to reproduce the claimed conclusions. The hardcore-gluon approximation jmax=1/2 is explicitly stated in Sec. 1.3.5 to be reliable only in the strong-coupling limit g≫1, and Sec. 1.3.2 says that weak-coupling physics requires larger representations; the absence of a jmax-convergence check is a legitimate correctness risk for extrapolating to the full SU(2) theory, but it is not circularity. The self-citations to the author's own papers [2-5] support the priority claim and the roadmap framing, but the underlying numerical results are independent outputs of the stated model, and no fitted parameter is renamed as a prediction. The 'first TN simulations' claim is a bibliographic assertion supported by a self-citation rather than a derivation, so it does not make the physical derivation circular. Overall, the central derivation reduces to standard Hamiltonian lattice gauge theory plus an explicit truncation, not to its own conclusions.

Assumptions & free parameters 2 free parameters · 4 assumptions · 0 invented entities

No new physical particles, forces, or dimensions are posited. The rishon modes and dressed sites are auxiliary mathematical bookkeeping devices used to reorganize the gauge degrees of freedom; they carry no independent falsifiable predictions. The free parameters are the gauge truncation choices that control the local Hilbert space dimension.

free parameters (2)
  • Hardcore-gluon truncation jmax = 1/2
    The smallest non-trivial SU(2) truncation, imposed by hand in Sec. 1.3.5 to make tensor network simulations tractable. The thesis acknowledges it is reliable only for strong coupling, yet the phase diagram in Ch3 uses it.
  • Gauge truncation cutoff Theta = jmax(jmax+1)
    Energy cutoff on the Casimir spectrum introduced in Sec. 1.2.1. This controls the local dressed-site Hilbert space dimension and is a free numerical parameter of the formalism.
assumptions (4)
  • domain assumption Truncating the gauge group by a Casimir energy cutoff preserves the relevant low-energy physics of the untruncated theory.
    Invoked in Secs. 1.2.1 and 1.3.5. The paper states this is justified in the strong-coupling limit, but the truncation error is not quantified and the continuum limit requires larger jmax (Sec. 1.4.5).
  • ad hoc to paper The rishon decomposition U = zeta zeta^dagger with zeta defined in Eq. (1.3.27) exactly reproduces the SU(2) parallel transporter for all jmax.
    Sec. 1.3.3, Eq. (1.3.23)-(1.3.27). The paper says 'It is possible to show' the compatibility with Eq. (1.3.10), but no proof is provided. This construction is the core of the dressed-site Hamiltonian.
  • domain assumption Staggered fermions with the phase factors in Eq. (1.1.32) give a valid lattice discretization of Dirac fermions.
    Standard Kogut-Susskind staggered fermion assumption, adopted from [144,148]. The thesis relies on it without re-deriving or justifying the continuum limit.
  • domain assumption The Z2 link symmetry constraint, equality of the two rishon Casimirs, is exactly equivalent to the original SU(2) link gauge invariance.
    Sec. 1.3.4, Eq. (1.3.36). This reduction of non-Abelian link symmetry to an Abelian Z2 selection rule is central to the dressed-site approach, but its exactness for the truncated gauge group is asserted rather than proven.

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Pith. "Pith review of Hamiltonian Lattice Gauge Theories: emergent properties from Tensor Network methods." pith.science (2026). https://pith.science/paper/N3KGUGTN

@misc{pith2026250111115,
  author       = {Pith},
  title        = {Pith review of: Hamiltonian Lattice Gauge Theories: emergent properties from Tensor Network methods},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/N3KGUGTN}},
  note         = {Machine review of arXiv:2501.11115}
}
read the original abstract

This thesis develops advanced Tensor Network (TN) methods to address Hamiltonian Lattice Gauge Theories (LGTs), overcoming limitations in real-time dynamics and finite-density regimes. A novel dressed-site formalism is introduced, enabling efficient truncation of gauge fields while preserving gauge invariance for both Abelian and non-Abelian theories. This formalism is successfully applied to SU(2) Yang-Mills LGTs in two dimensions, providing the first TN simulations of this system and revealing critical aspects of its phase diagram and non-equilibrium behavior, such as a Quantum Many-Body (QMB) scarring dynamics. A generalization of the dressed-site formalism is proposed through a new fermion-to-qubit mapping for general lattice fermion theories, revealing powerful for classical and quantum simulations. Numerical innovations, including the use of optimal space-filling curves such as the Hilbert curve to preserve locality in high-dimensional simulations, further enhance the efficiency of these methods. Together with high-performance computing techniques, these advances open current and future development pathways toward optimized, efficient, and faster simulations on scales comparable to Monte Carlo state-of-the-art.

Figures

Figures reproduced from arXiv: 2501.11115 by the authors.

Figure 1.3
Figure 1.3. Exact diagonalization of a QED plaquette for a grid of masses [PITH_FULL_IMAGE:figures/full_fig_p047_1_3.png] view at source ↗
Figure 2.1
Figure 2.1. Illustration of block diagonalization. In absence of symmetries, we have to diagonalize [PITH_FULL_IMAGE:figures/full_fig_p051_2_1.png] view at source ↗
Figure 2.2
Figure 2.2. Pictorial representation of the main manipulations (a)-(c), contractions (d), and [PITH_FULL_IMAGE:figures/full_fig_p056_2_2.png] view at source ↗
Figures from the paper (32 more)
Figure 2.4
Figure 2.4. Figure 2.4: Pictorial representation of the employment of unitary gauges on a TN structure [PITH_FULL_IMAGE:figures/full_fig_p062_2_4.png]
Figure 2.5
Figure 2.5. Figure 2.5: Iterative construction of the space-filling Hilbert curve on an [PITH_FULL_IMAGE:figures/full_fig_p067_2_5.png]
Figure 2.6
Figure 2.6. Figure 2.6: Numerical simulations of the 2D quantum Ising Hamiltonian at [PITH_FULL_IMAGE:figures/full_fig_p068_2_6.png]
Figure 2.7
Figure 2.7. Figure 2.7: Local magnetization difference between the Hilbert and the snake ground states for [PITH_FULL_IMAGE:figures/full_fig_p069_2_7.png]
Figure 2.8
Figure 2.8. Figure 2.8: Distributions of the number of TN links separating physically adjacent lattice sites in [PITH_FULL_IMAGE:figures/full_fig_p069_2_8.png]
Figure 2.9
Figure 2.9. Figure 2.9: Distributions of the distances dMPS (first row) and dTTN (second row) relative to the pairs of sites connected by an interaction term in the Hamiltonian Hˆ H computed for n = 16 (first column) and n = 32 (second column). MPS and the Hilbert curve is larger than the o…
Figure 2.10
Figure 2.10. Figure 2.10: (a) Pictorial representation of the variational ground-state search algorithm w.r.t a [PITH_FULL_IMAGE:figures/full_fig_p075_2_10.png]
Figure 2.11
Figure 2.11. Figure 2.11: Graphical representation of (a) the pseudo site DMRG (PS-DMRG) approach, [PITH_FULL_IMAGE:figures/full_fig_p078_2_11.png]
Figure 2.12
Figure 2.12. Figure 2.12: Effective operators and parallel tensor networks. (a) Procedure for optimizing a TTN to find the ground state of a QMB system: the energy is computed by contracting the Hamiltonian Hˆ (yellow tensor) with the TTN, representing the state |ψ⟩, and its hermitian conjug…
Figure 3.1
Figure 3.1. Figure 3.1: TTN approach to (2+1)D SU(2) Yang-Mills LGT. Lattice sites host flavorless SU(2)- [PITH_FULL_IMAGE:figures/full_fig_p088_3_1.png]
Figure 3.2
Figure 3.2. Figure 3.2: Numerical simulations of the pure Hamiltonian in Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p090_3_2.png]
Figure 3.3
Figure 3.3. Figure 3.3: (a) Scaling of the particle density defined in Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p092_3_3.png]
Figure 3.4
Figure 3.4. Figure 3.4: Numerical results of the full SU(2) Hamiltonian in Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p094_3_4.png]
Figure 3.5
Figure 3.5. Figure 3.5: Simulations of the full SU(2) Hamiltonian in Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p095_3_5.png]
Figure 3.6
Figure 3.6. Figure 3.6: Simulations of a 2 × 2 lattice in PBC. The plots display respectively: (a) the average particle density ϱ and (b) its quantum fluctuations δϱ; (c) the matter color density ⟨S 2 matt⟩ and (d) its quantum fluctuations δS2 matt. All the observables are studied as a func…
Figure 3.7
Figure 3.7. Figure 3.7: Pictorial representations of the topological invariants defined in Eqs. ( [PITH_FULL_IMAGE:figures/full_fig_p098_3_7.png]
Figure 3.8
Figure 3.8. Figure 3.8: Distance between the ground-state Py-topological invariant in the full theory and the corresponding one of the pure theory for different m-values (a) and g-couplings (b). Results from simulations in a 2 × 2 lattice with PBC at b = 0. Figure from [2]. the case of an-i…
Figure 3.9
Figure 3.9. Figure 3.9: Graphical representation of the 1 st and 2 nd order perturbative effects of the magnetic (a) and the hopping terms (b)-(c) to the ground state of Eq. (3.6.2). while the perturbative terms read: Hˆ matt n = m(−1)nx+nyNˆ n,tot (3.6.3a) Hˆ x-hop n = 1 2 [︂ −iQˆ † n,+µx …
Figure 3.10
Figure 3.10. Figure 3.10: Phase diagram (g 2 , m) of the full SU(2) Hamiltonian in Eq. (3.1.2) in the sector with zero baryon number density from (a) the average electric energy density in Eq. (3.1.4), (b) the average particle density in Eq. (3.1.7), and (c) the matter color density defined …
Figure 4.1
Figure 4.1. Figure 4.1: Many-body scarring dynamics of the polarized bare vacuum (left) and the bare [PITH_FULL_IMAGE:figures/full_fig_p116_4_1.png]
Figure 4.2
Figure 4.2. Figure 4.2: Spectrum analysis for a lattice chain of [PITH_FULL_IMAGE:figures/full_fig_p118_4_2.png]
Figure 4.3
Figure 4.3. Figure 4.3: Dynamics of the microcanonical state in Eq. (4.4.10) for the same parameter regimes of [PITH_FULL_IMAGE:figures/full_fig_p119_4_3.png]
Figure 4.4
Figure 4.4. Figure 4.4: [Left]: Many-body spectrum. Spectrum analysis for a lattice chain of N = 10 sites with open boundary conditions in a few paradigmatic regimes (corresponding to different columns) where we observe ergodic dynamics. The first and second rows show the overlap of the man…
Figure 4.5
Figure 4.5. Figure 4.5: Scarring at higher gauge truncation. Many body scarring dynamics for the polarized bare vacuum (PV) and the bare vacuum (V) for the truncated SU(2) YM LGT at jmax = 1 (pink line) in comparison with the corresponding one at jmax = 1/2 (cyan line). Each column reports …
Figure 4.6
Figure 4.6. Figure 4.6: Finite-size scaling. Return fidelity during the evolution of the polarized bare vacuum (a) and bare vacuum (b) initial states, for m = 5, g 2 = 1, open boundary conditions, and various systems sizes N. The side plots (c) and (d) show the finite-size scaling of the hi…
Figure 4.7
Figure 4.7. Figure 4.7: Long time dynamics. First to third row: return fidelity, average quark occupancy, and bipartite entanglement entropy as a function of time for the two initial states: polarized bare vacuum, and bare vacuum. We considered different values of mass and coupling as indic…
Figure 5.1
Figure 5.1. Figure 5.1: Simulation of the Hubbard model in 2D with tensor networks (equilibrium) and [PITH_FULL_IMAGE:figures/full_fig_p126_5_1.png]
Figure 5.2
Figure 5.2. Figure 5.2: Exact Diagonalization comparison on a 2×2 lattice between the ground state energy density ε of the original 2D Hubbard model and its defermionized version as a function of U/t, and for three values of the particle density ρ: (a) below half-filling with ρ = 0.5, (b) a…
Figure 5.3
Figure 5.3. Figure 5.3: (a) Ground state energy density of the 2D Hubbard Hamiltonian at [PITH_FULL_IMAGE:figures/full_fig_p134_5_3.png]
Figure 5.5
Figure 5.5. Figure 5.5: Mapping of the time propagator of a generic Pauli string to a quantum circuit using [PITH_FULL_IMAGE:figures/full_fig_p139_5_5.png]
Figure 5.6
Figure 5.6. Figure 5.6: Graphical representation of the Hamiltonian terms in the defermionized Hubbard [PITH_FULL_IMAGE:figures/full_fig_p141_5_6.png]
Figure 5.7
Figure 5.7. Figure 5.7: Schematic of injecting spin- and charge-excitations on the [PITH_FULL_IMAGE:figures/full_fig_p142_5_7.png]

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Reference graph

Works this paper leans on

299 extracted references · 116 canonical work pages · cited by 2 Pith papers

  1. [1]

    Hilbert Curve vs Hilbert Space: Exploiting Fractal 2D Covering to Increase Tensor Network Efficiency

    Giovanni Cataldi, Ashkan Abedi, Giuseppe Magnifico, Simone Notarnicola, Nicola Dalla Pozza, Vittorio Giovannetti, and Simone Montangero. “Hilbert Curve vs Hilbert Space: Exploiting Fractal 2D Covering to Increase Tensor Network Efficiency”.Quantum, Sept. 2021.doi: 10.22331/q-2021-09-29-556

  2. [2]

    Simulating (2+1)D SU(2) Yang-Mills Lattice Gauge Theory at Finite Density with Tensor Networks

    Giovanni Cataldi, Giuseppe Magnifico, Pietro Silvi, and Simone Montangero. “Simulating (2+1)D SU(2) Yang-Mills Lattice Gauge Theory at Finite Density with Tensor Networks”. Physical Review Research, July 2024.doi: 10.1103/PhysRevResearch.6.033057

  3. [3]

    Quantum Many-Body Scarring in a Non-Abelian Lattice Gauge Theory

    Giovanni Cataldi*, Giuseppe Calajó*, Marco Rigobello, Darvin Wanisch, Giuseppe Magnifico, Pietro Silvi, Simone Montangero, and Jad C. Halimeh. “Quantum Many-Body Scarring in a Non-Abelian Lattice Gauge Theory”.Physical Review Research, Mar. 2025.doi: 10.1103/PhysRevResearch.7.013322

  4. [4]

    Digital Quantum Simulation of Lattice Fermion Theories with Local Encoding

    Giovanni Cataldi*, Marco Ballarin*, Giuseppe Magnifico, Daniel Jaschke, Marco Di Liberto, Ilaria Siloi, Simone Montangero, and Pietro Silvi. “Digital Quantum Simulation of Lattice Fermion Theories with Local Encoding”.Quantum, Sept. 2024.doi: 10.22331/q-2024-09-04-1460

  5. [5]

    July 2024.doi: 10.48550/arXiv.2407.03058

    Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello, Peter Majcen, Daniel Jaschke, Pietro Silvi, and Simone Montangero.Tensor Networks for Lattice Gauge Theories beyond One Dimension: A Roadmap. July 2024.doi: 10.48550/arXiv.2407.03058

  6. [6]

    Giovanni Cataldi. Ed-Lgt. Exact Diagonalization Code for Lattice Gauge Theories and Quantum Many Body Hamiltonians. May 2024.doi: 10.5281/ZENODO.11145318

  7. [7]

    The Standard Model of Particle Physics

    Mary K. Gaillard, Paul D. Grannis, and Frank J. Sciulli. “The Standard Model of Particle Physics”. Reviews of Modern Physics, Mar. 1999.doi: 10.1103/RevModPhys.71.S96

  8. [8]

    An Introduction to Lattice Gauge Theory and Spin Systems

    John B. Kogut. “An Introduction to Lattice Gauge Theory and Spin Systems”.Reviews of Modern Physics, Oct. 1979.doi: 10.1103/RevModPhys.51.659

Show all 299 references
  1. [9]

    Heinz J. Rothe. Lattice Gauge Theories: An Introduction (Fourth Edition). World Scientific Publishing Company, 2012.isbn: 978-981-4365-87-1 978-981-4365-85-7

  2. [10]

    The Lattice Gauge Theory Approach to Quantum Chromodynamics

    John B. Kogut. “The Lattice Gauge Theory Approach to Quantum Chromodynamics”.Reviews of Modern Physics, July 1983.doi: 10.1103/RevModPhys.55.775

  3. [11]

    Introduction to Lattice QCD

    Rajan Gupta. “Introduction to Lattice QCD”.Introduction to Lattice QCD, July 1998

  4. [13]

    Finite-Density Lattice QCD and Sign Problem: Current Status and Open Problems

    Keitaro Nagata. “Finite-Density Lattice QCD and Sign Problem: Current Status and Open Problems”. Progress in Particle and Nuclear Physics, Nov. 2022.doi: 10.1016/j.ppnp.2022.103991

  5. [14]

    Confinement of Quarks

    Kenneth G. Wilson. “Confinement of Quarks”.Physical Review D, Oct. 1974.doi: 10.1103/PhysRevD.10.2445

  6. [15]

    Confinement - Deconfinement Transition in an $SU(2)$ Higgs Theory

    Minati Biswal, Mridupawan Deka, Sanatan Digal, and P. S. Saumia. “Confinement - Deconfinement Transition in an $SU(2)$ Higgs Theory”.Physical Review D, July 2017.doi: 10.1103/PhysRevD.96.014503. 139 140 BIBLIOGRAPHY

  7. [16]

    Confinement-Deconfinement Transition in Dense SU(2) QCD

    V. G. Bornyakov, V. V. Braguta, E. M. Ilgenfritz, A. Yu. Kotov, I. E. Kudrov, A. V. Molochkov, A. A. Nikolaev, and R. N. Rogalyov. “Confinement-Deconfinement Transition in Dense SU(2) QCD”. EPJ Web Conf., 2018. doi: 10.1051/epjconf/201817507009

  8. [17]

    Deconfinement in SU(2) Yang-Mills Theory as a Center Vortex Percolation Transition

    M. Engelhardt, K. Langfeld, H. Reinhardt, and O. Tennert. “Deconfinement in SU(2) Yang-Mills Theory as a Center Vortex Percolation Transition”.Physical Review D, Feb. 2000.doi: 10.1103/PhysRevD.61.054504

  9. [18]

    Stochastic Confinement and Dimensional Reduction (I). Four-Dimensional SU(2) Lattice Gauge Theory

    J. Ambjørn, P. Olesen, and C. Peterson. “Stochastic Confinement and Dimensional Reduction (I). Four-Dimensional SU(2) Lattice Gauge Theory”.Nuclear Physics B, Sept. 1984.doi: 10.1016/0550-3213(84)90475-9

  10. [19]

    Stochastic Confinement and Dimensional Reduction (II). Three-Dimensional SU(2) Lattice Gauge Theory

    J. Ambjørn, P. Olesen, and C. Peterson. “Stochastic Confinement and Dimensional Reduction (II). Three-Dimensional SU(2) Lattice Gauge Theory”.Nuclear Physics B, Nov. 1984.doi: 10.1016/0550-3213(84)90242-6

  11. [20]

    Chiral Symmetry Breaking in Continuum QCD

    Mario Mitter, Jan M. Pawlowski, and Nils Strodthoff. “Chiral Symmetry Breaking in Continuum QCD”. Physical Review D, Mar. 2015.doi: 10.1103/PhysRevD.91.054035

  12. [21]

    Chiral-Symmetry Breaking in Lattice QCD with Two and Four Fermion Flavors

    Steven Gottlieb, W. Liu, D. Toussaint, R. L. Renken, and R. L. Sugar. “Chiral-Symmetry Breaking in Lattice QCD with Two and Four Fermion Flavors”.Physical Review D, June 1987. doi: 10.1103/PhysRevD.35.3972

  13. [22]

    Color-Flavor Locking and Chiral Symmetry Breaking in High Density QCD

    Mark Alford, Krishna Rajagopal, and Frank Wilczek. “Color-Flavor Locking and Chiral Symmetry Breaking in High Density QCD”.Nuclear Physics B, Jan. 1999.doi: 10.1016/S0550-3213(98)00668-3

  14. [23]

    Scales of Chiral Symmetry Breaking in Quantum Chromodynamics

    J. Kogut, M. Stone, H. W. Wyld, J. Shigemitsu, S. H. Shenker, and D. K. Sinclair. “Scales of Chiral Symmetry Breaking in Quantum Chromodynamics”.Physical Review Letters, Apr. 1982. doi: 10.1103/PhysRevLett.48.1140

  15. [24]

    Monte Carlo Study of Quantized SU(2) Gauge Theory

    Michael Creutz. “Monte Carlo Study of Quantized SU(2) Gauge Theory”.Physical Review D, Apr. 1980. doi: 10.1103/PhysRevD.21.2308

  16. [25]

    Numerical Studies of Wilson Loops in SU(3) Gauge Theory in Four Dimensions

    Michael Creutz and K. J. M. Moriarty. “Numerical Studies of Wilson Loops in SU(3) Gauge Theory in Four Dimensions”.Physical Review D, Oct. 1982.doi: 10.1103/PhysRevD.26.2166

  17. [26]

    Further Evidence for the First-Order Nature of the Pure Gauge SU(3) Deconfinement Transition

    J. Kogut, J. Polonyi, H. W. Wyld, J. Shigemitsu, and D. K. Sinclair. “Further Evidence for the First-Order Nature of the Pure Gauge SU(3) Deconfinement Transition”.Nuclear Physics B, Jan. 1985. doi: 10.1016/0550-3213(85)90264-0

  18. [27]

    Monte Carlo Study of Abelian Lattice Gauge Theories

    Michael Creutz, Laurence Jacobs, and Claudio Rebbi. “Monte Carlo Study of Abelian Lattice Gauge Theories”.Physical Review D, Oct. 1979.doi: 10.1103/PhysRevD.20.1915

  19. [28]

    SU(2) Lattice Gauge Theory and Monte Carlo Calculations

    B. Berg and J. Stehr. “SU(2) Lattice Gauge Theory and Monte Carlo Calculations”.Zeitschrift für Physik C Particles and Fields, Dec. 1981.doi: 10.1007/BF01548769

  20. [29]

    Monte Carlo Computations in Lattice Gauge Theories

    Michael Creutz, Laurence Jacobs, and Claudio Rebbi. “Monte Carlo Computations in Lattice Gauge Theories”.Physics Reports, Apr. 1983.doi: 10.1016/0370-1573(83)90016-9

  21. [30]

    M. Creutz. Lattice Gauge Theory and Monte Carlo Methods. Tech. rep. BNL-42086. Brookhaven National Lab. (BNL), Upton, NY (United States), Nov. 1988.doi: 10.2172/6530895

  22. [31]

    Lattice Gauge Theories and Monte Carlo Algorithms

    Michael Creutz. “Lattice Gauge Theories and Monte Carlo Algorithms”.Nuclear Physics B - Proceedings Supplements, July 1989.doi: 10.1016/0920-5632(89)90061-3

  23. [32]

    Monte Carlo Simulations with Indefinite and Complex-Valued Measures

    T. D. Kieu and C. J. Griffin. “Monte Carlo Simulations with Indefinite and Complex-Valued Measures”. Phys. Rev. E, May 1994.doi: 10.1103/PhysRevE.49.3855

  24. [33]

    Monte Carlo Simulation of a Lattice Model for the Dynamics of Randomly Branching Double-Folded Ring Polymers

    Elham Ghobadpour, Max Kolb, Mohammad Reza Ejtehadi, and Ralf Everaers. “Monte Carlo Simulation of a Lattice Model for the Dynamics of Randomly Branching Double-Folded Ring Polymers”. Physical Review E, July 2021.doi: 10.1103/PhysRevE.104.014501

  25. [34]

    Fixed-Node Quantum Monte Carlo Method for Lattice Fermions

    H. J. M. van Bemmel, D. F. B. ten Haaf, W. van Saarloos, J. M. J. van Leeuwen, and G. An. “Fixed-Node Quantum Monte Carlo Method for Lattice Fermions”.Phys. Rev. Lett., Apr. 1994. doi: 10.1103/PhysRevLett.72.2442

  26. [35]

    Monte Carlo Study of Lattice Compact Quantum Electrodynamics with Fermionic Matter: The Parent State of Quantum Phases

    Xiao Yan Xu, Yang Qi, Long Zhang, Fakher F. Assaad, Cenke Xu, and Zi Yang Meng. “Monte Carlo Study of Lattice Compact Quantum Electrodynamics with Fermionic Matter: The Parent State of Quantum Phases”.Physical Review X, May 2019.doi: 10.1103/PhysRevX.9.021022

  27. [36]

    Path Integral Monte Carlo Approach to the U(1) Lattice Gauge Theory in 2+1 Dimensions

    Mushtaq Loan, Michael Brunner, Clare Sloggett, and Chris Hamer. “Path Integral Monte Carlo Approach to the U(1) Lattice Gauge Theory in 2+1 Dimensions”.Physical Review D, Aug. 2003. doi: 10.1103/PhysRevD.68.034504. BIBLIOGRAPHY 141

  28. [37]

    Quantum Monte Carlo Methods in Nuclear Physics: Recent Advances

    J.E. Lynn, I. Tews, S. Gandolfi, and A. Lovato. “Quantum Monte Carlo Methods in Nuclear Physics: Recent Advances”.Annual Review of Nuclear and Particle Science, Oct. 2019.doi: 10.1146/annurev-nucl-101918-023600

  29. [38]

    Computational Complexity and Fundamental Limitations to Fermionic Quantum Monte Carlo Simulations

    Matthias Troyer and Uwe-Jens Wiese. “Computational Complexity and Fundamental Limitations to Fermionic Quantum Monte Carlo Simulations”.Physical Review Letters, May

  30. [39]

    Solving the Fermion Sign Problem in Quantum Monte Carlo Simulations by Majorana Representation

    Zi-Xiang Li, Yi-Fan Jiang, and Hong Yao. “Solving the Fermion Sign Problem in Quantum Monte Carlo Simulations by Majorana Representation”.Phys. Rev. B, June 2015.doi: 10.1103/PhysRevB.91.241117

  31. [40]

    Real-Time Dynamics of Lattice Gauge Theories with a Few-Qubit Quantum Computer

    Esteban A. Martinez, Christine A. Muschik, Philipp Schindler, Daniel Nigg, Alexander Erhard, Markus Heyl, Philipp Hauke, Marcello Dalmonte, Thomas Monz, Peter Zoller, and Rainer Blatt. “Real-Time Dynamics of Lattice Gauge Theories with a Few-Qubit Quantum Computer”. Nature, Ju...

  32. [41]

    Floquet Approach toZ2 Lattice Gauge Theories with Ultracold Atoms in Optical Lattices

    Christian Schweizer, Fabian Grusdt, Moritz Berngruber, Luca Barbiero, Eugene Demler, Nathan Goldman, Immanuel Bloch, and Monika Aidelsburger. “Floquet Approach toZ2 Lattice Gauge Theories with Ultracold Atoms in Optical Lattices”.Nature Physics, Nov. 2019.doi: 10.1038/s41567-0...

  33. [42]

    Observation of Gauge Invariance in a 71-Site Bose–Hubbard Quantum Simulator

    Bing Yang, Hui Sun, Robert Ott, Han-Yi Wang, Torsten V. Zache, Jad C. Halimeh, Zhen-Sheng Yuan, Philipp Hauke, and Jian-Wei Pan. “Observation of Gauge Invariance in a 71-Site Bose–Hubbard Quantum Simulator”.Nature, Nov. 2020.doi: 10.1038/s41586-020-2910-8

  34. [43]

    Thermalization Dynamics of a Gauge Theory on a Quantum Simulator

    Zhao-Yu Zhou, Guo-Xian Su, Jad C. Halimeh, Robert Ott, Hui Sun, Philipp Hauke, Bing Yang, Zhen-Sheng Yuan, Jürgen Berges, and Jian-Wei Pan. “Thermalization Dynamics of a Gauge Theory on a Quantum Simulator”.Science, July 2022.doi: 10.1126/science.abl6277

  35. [44]

    Digital Quantum Simulation of the Schwinger Model and Symmetry Protection with Trapped Ions

    Nhung H. Nguyen, Minh C. Tran, Yingyue Zhu, Alaina M. Green, C. Huerta Alderete, Zohreh Davoudi, and Norbert M. Linke. “Digital Quantum Simulation of the Schwinger Model and Symmetry Protection with Trapped Ions”.PRX Quantum, May 2022.doi: 10.1103/PRXQuantum.3.020324

  36. [45]

    Halimeh, Zhang Jiang, and Philipp Hauke

    Julius Mildenberger, Wojciech Mruczkiewicz, Jad C. Halimeh, Zhang Jiang, and Philipp Hauke. Probing Confinement in a $\mathbb{Z}_2$ Lattice Gauge Theory on a Quantum Computer. Aug. 2022. doi: 10.48550/arXiv.2203.08905

  37. [46]

    Matrix Product States, Projected Entangled Pair States, and Variational Renormalization Group Methods for Quantum Spin Systems

    F. Verstraete, V. Murg, and J.I. Cirac. “Matrix Product States, Projected Entangled Pair States, and Variational Renormalization Group Methods for Quantum Spin Systems”.Advances in Physics, Mar. 2008.doi: 10.1080/14789940801912366

  38. [47]

    Tensor Networks for Complex Quantum Systems

    Román Orús. “Tensor Networks for Complex Quantum Systems”.Nature Reviews Physics, Sept

  39. [48]

    Introduction to Tensor Network Methods: Numerical Simulations of Low-Dimensional Many-Body Quantum Systems

    Simone Montangero. Introduction to Tensor Network Methods: Numerical Simulations of Low-Dimensional Many-Body Quantum Systems. Cham: Springer International Publishing, 2018. isbn: 978-3-030-01408-7 978-3-030-01409-4.doi: 10.1007/978-3-030-01409-4

  40. [49]

    The Tensor Networks Anthology: Simulation Techniques for Many-Body Quantum Lattice Systems

    Pietro Silvi, Ferdinand Tschirsich, Matthias Gerster, Johannes Jünemann, Daniel Jaschke, Matteo Rizzi, and Simone Montangero. “The Tensor Networks Anthology: Simulation Techniques for Many-Body Quantum Lattice Systems”.SciPost Physics Lecture Notes, Mar. 2019.doi: 10.21468/Sci...

  41. [50]

    Colloquium: Area Laws for the Entanglement Entropy

    J. Eisert, M. Cramer, and M. B. Plenio. “Colloquium: Area Laws for the Entanglement Entropy”. Reviews of Modern Physics, Feb. 2010.doi: 10.1103/RevModPhys.82.277

  42. [51]

    Finitely Correlated States on Quantum Spin Chains

    M. Fannes, B. Nachtergaele, and R. F. Werner. “Finitely Correlated States on Quantum Spin Chains”. Communications in Mathematical Physics, Mar. 1992.doi: 10.1007/BF02099178

  43. [52]

    Matrix Product Ground States for One-Dimensional Spin-1 Quantum Antiferromagnets

    A. Klümper, A. Schadschneider, and J. Zittartz. “Matrix Product Ground States for One-Dimensional Spin-1 Quantum Antiferromagnets”.Europhysics Letters, Nov. 1993.doi: 10.1209/0295-5075/24/4/010

  44. [53]

    Garnet Kin-Lic Chan, Anna Keselman, Naoki Nakatani, Zhendong Li, and Steven R. White. Matrix Product Operators, Matrix Product States, and Ab Initio Density Matrix Renormalization Group Algorithms. June 2016.doi: 10.48550/arXiv.1605.02611

  45. [54]

    Time-Evolution Methods for Matrix-Product States

    Sebastian Paeckel, Thomas Köhler, Andreas Swoboda, Salvatore R. Manmana, Ulrich Schollwöck, and Claudius Hubig. “Time-Evolution Methods for Matrix-Product States”. Annals of Physics, Dec. 2019.doi: 10.1016/j.aop.2019.167998. 142 BIBLIOGRAPHY

  46. [55]

    The Density-Matrix Renormalization Group in the Age of Matrix Product States

    Ulrich Schollwöck. “The Density-Matrix Renormalization Group in the Age of Matrix Product States”. Annals of Physics, Jan. 2011.doi: 10.1016/j.aop.2010.09.012

  47. [56]

    Criticality, the Area Law, and the Computational Power of Projected Entangled Pair States

    F. Verstraete, M. M. Wolf, D. Perez-Garcia, and J. I. Cirac. “Criticality, the Area Law, and the Computational Power of Projected Entangled Pair States”.Physical Review Letters, June 2006. doi: 10.1103/PhysRevLett.96.220601

  48. [57]

    Verstraete and J

    F. Verstraete and J. I. Cirac.Renormalization Algorithms for Quantum-Many Body Systems in Two and Higher Dimensions. July 2004.doi: 10.48550/arXiv.cond-mat/0407066

  49. [58]

    Computational Complexity of Projected Entangled Pair States

    Norbert Schuch, Michael M. Wolf, Frank Verstraete, and J. Ignacio Cirac. “Computational Complexity of Projected Entangled Pair States”.Physical Review Letters, Apr. 2007.doi: 10.1103/PhysRevLett.98.140506

  50. [59]

    Mathematical Open Problems in Projected Entangled Pair States

    Juan Ignacio Cirac, José Garre-Rubio, and David Pérez-García. “Mathematical Open Problems in Projected Entangled Pair States”.Revista Matemática Complutense, Sept. 2019.doi: 10.1007/s13163-019-00318-x

  51. [60]

    Matrix Product States and Projected Entangled Pair States: Concepts, Symmetries, Theorems

    J. Ignacio Cirac, David Pérez-García, Norbert Schuch, and Frank Verstraete. “Matrix Product States and Projected Entangled Pair States: Concepts, Symmetries, Theorems”.Reviews of Modern Physics, Dec. 2021.doi: 10.1103/RevModPhys.93.045003

  52. [61]

    Improved Energy Extrapolation with Infinite Projected Entangled-Pair States Applied to the Two-Dimensional Hubbard Model

    Philippe Corboz. “Improved Energy Extrapolation with Infinite Projected Entangled-Pair States Applied to the Two-Dimensional Hubbard Model”.Phys. Rev. B, Jan. 2016.doi: 10.1103/PhysRevB.93.045116

  53. [62]

    Simulation of Strongly Correlated Fermions in Two Spatial Dimensions with Fermionic Projected Entangled-Pair States

    Philippe Corboz, Román Orús, Bela Bauer, and Guifré Vidal. “Simulation of Strongly Correlated Fermions in Two Spatial Dimensions with Fermionic Projected Entangled-Pair States”.Physical Review B, Apr. 2010.doi: 10.1103/PhysRevB.81.165104

  54. [63]

    Fermionic Projected Entangled Pair States

    Christina V. Kraus, Norbert Schuch, Frank Verstraete, and J. Ignacio Cirac. “Fermionic Projected Entangled Pair States”.Physical Review A, May 2010.doi: 10.1103/PhysRevA.81.052338

  55. [64]

    Algorithms for Finite Projected Entangled Pair States

    Michael Lubasch, J. Ignacio Cirac, and Mari-Carmen Bañuls. “Algorithms for Finite Projected Entangled Pair States”.Physical Review B, Aug. 2014.doi: 10.1103/PhysRevB.90.064425

  56. [65]

    Unifying Projected Entangled Pair State Contractions

    Michael Lubasch, J. Ignacio Cirac, and Mari-Carmen Bañuls. “Unifying Projected Entangled Pair State Contractions”.New Journal of Physics, Mar. 2014.doi: 10.1088/1367-2630/16/3/033014

  57. [66]

    A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

    Román Orús. “A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States”.Annals of Physics, Oct. 2014.doi: 10.1016/j.aop.2014.06.013

  58. [67]

    Variational Methods for Contracting Projected Entangled-Pair States

    Laurens Vanderstraeten, Lander Burgelman, Boris Ponsioen, Maarten Van Damme, Bram Vanhecke, Philippe Corboz, Jutho Haegeman, and Frank Verstraete. “Variational Methods for Contracting Projected Entangled-Pair States”.Physical Review B, May 2022.doi: 10.1103/PhysRevB.105.195140

  59. [68]

    Projected Entangled Pair States with Non-Abelian Gauge Symmetries: An SU(2) Study

    Erez Zohar, Thorsten B. Wahl, Michele Burrello, and J. Ignacio Cirac. “Projected Entangled Pair States with Non-Abelian Gauge Symmetries: An SU(2) Study”.Annals of Physics, Nov

  60. [69]

    Classical Simulation of Quantum Many-Body Systems with a Tree Tensor Network

    Y.-Y. Shi, L.-M. Duan, and G. Vidal. “Classical Simulation of Quantum Many-Body Systems with a Tree Tensor Network”.Physical Review A, Aug. 2006.doi: 10.1103/PhysRevA.74.022320

  61. [70]

    Unconstrained Tree Tensor Network: An Adaptive Gauge Picture for Enhanced Performance

    M. Gerster, P. Silvi, M. Rizzi, R. Fazio, T. Calarco, and S. Montangero. “Unconstrained Tree Tensor Network: An Adaptive Gauge Picture for Enhanced Performance”.Physical Review B, Sept. 2014. doi: 10.1103/PhysRevB.90.125154

  62. [71]

    Homogeneous Binary Trees as Ground States of Quantum Critical Hamiltonians

    P. Silvi, V. Giovannetti, S. Montangero, M. Rizzi, J. I. Cirac, and R. Fazio. “Homogeneous Binary Trees as Ground States of Quantum Critical Hamiltonians”.Physical Review A, June

  63. [72]

    From Tree Tensor Network to Multiscale Entanglement Renormalization Ansatz

    Xiangjian Qian and Mingpu Qin. “From Tree Tensor Network to Multiscale Entanglement Renormalization Ansatz”.Physical Review B, May 2022.doi: 10.1103/PhysRevB.105.205102

  64. [73]

    Entanglement Renormalization

    G. Vidal. “Entanglement Renormalization”. Physical Review Letters, Nov. 2007.doi: 10.1103/PhysRevLett.99.220405

  65. [74]

    Entanglement Renormalization in Two Spatial Dimensions

    G. Evenbly and G. Vidal. “Entanglement Renormalization in Two Spatial Dimensions”.Physical Review Letters, May 2009.doi: 10.1103/PhysRevLett.102.180406. BIBLIOGRAPHY 143

  66. [75]

    The Mass Spectrum of the Schwinger Model with Matrix Product States

    M.C. Bañuls, K. Cichy, J.I. Cirac, and K. Jansen. “The Mass Spectrum of the Schwinger Model with Matrix Product States”.Journal of High Energy Physics, Nov. 2013.doi: 10.1007/JHEP11(2013)158

  67. [76]

    Tensor Networks for Lattice Gauge Theories and Atomic Quantum Simulation

    E. Rico, T. Pichler, M. Dalmonte, P. Zoller, and S. Montangero. “Tensor Networks for Lattice Gauge Theories and Atomic Quantum Simulation”.Physical Review Letters, May 2014.doi: 10.1103/PhysRevLett.112.201601

  68. [77]

    Quantum Simulation of the Schwinger Model: A Study of Feasibility

    Stefan Kühn, J. Ignacio Cirac, and Mari-Carmen Bañuls. “Quantum Simulation of the Schwinger Model: A Study of Feasibility”.Physical Review A, Oct. 2014.doi: 10.1103/PhysRevA.90.042305

  69. [78]

    Thermal Evolution of the Schwinger Model with Matrix Product Operators

    M. C. Bañuls, K. Cichy, J. I. Cirac, K. Jansen, and H. Saito. “Thermal Evolution of the Schwinger Model with Matrix Product Operators”.Physical Review D, Aug. 2015.doi: 10.1103/PhysRevD.92.034519

  70. [79]

    Hamiltonian Simulation of the Schwinger Model at Finite Temperature

    Boye Buyens, Frank Verstraete, and Karel Van Acoleyen. “Hamiltonian Simulation of the Schwinger Model at Finite Temperature”.Physical Review D, Oct. 2016.doi: 10.1103/PhysRevD.94.085018

  71. [80]

    Real-Time Simulation of the Schwinger Effect with Matrix Product States

    Boye Buyens, Jutho Haegeman, Florian Hebenstreit, Frank Verstraete, and Karel Van Acoleyen. “Real-Time Simulation of the Schwinger Effect with Matrix Product States”.Physical Review D, Dec. 2017. doi: 10.1103/PhysRevD.96.114501

  72. [81]

    Finite-Representation Approximation of Lattice Gauge Theories at the Continuum Limit with Tensor Networks

    Boye Buyens, Simone Montangero, Jutho Haegeman, Frank Verstraete, and Karel Van Acoleyen. “Finite-Representation Approximation of Lattice Gauge Theories at the Continuum Limit with Tensor Networks”.Physical Review D, May 2017.doi: 10.1103/PhysRevD.95.094509

  73. [82]

    Phase Transitions in ${Z}_{n}$ Gauge Models: Towards Quantum Simulations of the Schwinger-Weyl QED

    Elisa Ercolessi, Paolo Facchi, Giuseppe Magnifico, Saverio Pascazio, and Francesco V. Pepe. “Phase Transitions in ${Z}_{n}$ Gauge Models: Towards Quantum Simulations of the Schwinger-Weyl QED”.Physical Review D, Oct. 2018.doi: 10.1103/PhysRevD.98.074503

  74. [83]

    ${\mathbb{Z}}_{N}$ Gauge Theories Coupled to Topological Fermions: QED$_{2}$ with a Quantum Mechanical $\ensuremath{\theta}$ Angle

    G. Magnifico, D. Vodola, E. Ercolessi, S. P. Kumar, M. Müller, and A. Bermudez. “${\mathbb{Z}}_{N}$ Gauge Theories Coupled to Topological Fermions: QED$_{2}$ with a Quantum Mechanical $\ensuremath{\theta}$ Angle”.Physical Review B, Sept. 2019.doi: 10.1103/PhysRevB.100.115152

  75. [84]

    Symmetry-Protected Topological Phases in Lattice Gauge Theories: Topological QED$_{2}$

    G. Magnifico, D. Vodola, E. Ercolessi, S. P. Kumar, M. Müller, and A. Bermudez. “Symmetry-Protected Topological Phases in Lattice Gauge Theories: Topological QED$_{2}$”. Physical Review D, Jan. 2019.doi: 10.1103/PhysRevD.99.014503

  76. [85]

    Topological Vacuum Structure of the Schwinger Model with Matrix Product States

    Lena Funcke, Karl Jansen, and Stefan Kühn. “Topological Vacuum Structure of the Schwinger Model with Matrix Product States”.Physical Review D, Mar. 2020.doi: 10.1103/PhysRevD.101.054507

  77. [86]

    Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl Lattice Model for 1+1 QED

    Giuseppe Magnifico, Marcello Dalmonte, Paolo Facchi, Saverio Pascazio, Francesco V. Pepe, and Elisa Ercolessi. “Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl Lattice Model for 1+1 QED”.Quantum, June 2020.doi: 10.22331/q-2020-06-15-281

  78. [87]

    Entanglement Generation in $(1+1)\mathrm{D}$ QED Scattering Processes

    Marco Rigobello, Simone Notarnicola, Giuseppe Magnifico, and Simone Montangero. “Entanglement Generation in $(1+1)\mathrm{D}$ QED Scattering Processes”.Physical Review D, Dec. 2021.doi: 10.1103/PhysRevD.104.114501

  79. [88]

    Heller, Karl Jansen, Johannes Knaute, and Viktor Svensson.A Quantum Information Perspective on Meson Melting

    Mari Carmen Banuls, Michal P. Heller, Karl Jansen, Johannes Knaute, and Viktor Svensson.A Quantum Information Perspective on Meson Melting. June 2022.doi: 10.48550/arXiv.2206.10528

  80. [89]

    Two-Dimensional Quantum-Link Lattice Quantum Electrodynamics at Finite Density

    Timo Felser, Pietro Silvi, Mario Collura, and Simone Montangero. “Two-Dimensional Quantum-Link Lattice Quantum Electrodynamics at Finite Density”.Physical Review X, Nov

  81. [90]

    Lattice Quantum Electrodynamics in (3+1)-Dimensions at Finite Density with Tensor Networks

    Giuseppe Magnifico, Timo Felser, Pietro Silvi, and Simone Montangero. “Lattice Quantum Electrodynamics in (3+1)-Dimensions at Finite Density with Tensor Networks”.Nature Communications, June 2021.doi: 10.1038/s41467-021-23646-3

  82. [91]

    Finding the Ground State of a Lattice Gauge Theory with Fermionic Tensor Networks: A $2+1\mathrm{D}$ ${\mathbb{Z}}_{2}$ Demonstration

    Patrick Emonts, Ariel Kelman, Umberto Borla, Sergej Moroz, Snir Gazit, and Erez Zohar. “Finding the Ground State of a Lattice Gauge Theory with Fermionic Tensor Networks: A $2+1\mathrm{D}$ ${\mathbb{Z}}_{2}$ Demonstration”.Physical Review D, Jan. 2023.doi: 10.1103/PhysRevD.107...

  83. [92]

    Finite-Density Phase Diagram of a $(1+1)-D$ Non-Abelian Lattice Gauge Theory with Tensor Networks

    Pietro Silvi, Enrique Rico, Marcello Dalmonte, Ferdinand Tschirsich, and Simone Montangero. “Finite-Density Phase Diagram of a $(1+1)-D$ Non-Abelian Lattice Gauge Theory with Tensor Networks”. Quantum, Apr. 2017.doi: 10.22331/q-2017-04-25-9

  84. [93]

    Tensor Network Simulation of an SU(3) Lattice Gauge Theory in 1D

    Pietro Silvi, Yannick Sauer, Ferdinand Tschirsich, and Simone Montangero. “Tensor Network Simulation of an SU(3) Lattice Gauge Theory in 1D”.Physical Review D, Oct. 2019.doi: 10.1103/PhysRevD.100.074512

  85. [94]

    Loop-String-Hadron Formulation of an SU(3) Gauge Theory with Dynamical Quarks

    Saurabh Vasant Kadam, Indrakshi Raychowdhury, and Jesse Stryker. “Loop-String-Hadron Formulation of an SU(3) Gauge Theory with Dynamical Quarks”. In:Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). Vol. 430. SISSA Medialab, Apr. 2023,...

  86. [95]

    Gauge Redundancy-Free Formulation of Compact QED with Dynamical Matter for Quantum and Classical Computations

    Julian Bender and Erez Zohar. “Gauge Redundancy-Free Formulation of Compact QED with Dynamical Matter for Quantum and Classical Computations”.Physical Review D, Dec. 2020. doi: 10.1103/PhysRevD.102.114517

  87. [96]

    Finite Matrix Models with Continuous Local Gauge Invariance

    D. Horn. “Finite Matrix Models with Continuous Local Gauge Invariance”.Physics Letters B, Mar. 1981. doi: 10.1016/0370-2693(81)90763-2

  88. [97]

    Lattice Gauge Magnets: Local Isospin from Spin

    Peter Orland and Daniel Rohrlich. “Lattice Gauge Magnets: Local Isospin from Spin”.Nuclear Physics B, July 1990.doi: 10.1016/0550-3213(90)90646-U

  89. [98]

    Quantum Link Models: A Discrete Approach to Gauge Theories

    S Chandrasekharan and U. J Wiese. “Quantum Link Models: A Discrete Approach to Gauge Theories”. Nuclear Physics B, May 1997.doi: 10.1016/S0550-3213(97)80041-7

  90. [99]

    QCD as a Quantum Link Model

    R. Brower, S. Chandrasekharan, and U.-J. Wiese. “QCD as a Quantum Link Model”.Physical Review D, Sept. 1999.doi: 10.1103/PhysRevD.60.094502

  91. [100]

    Tensor Networks for Lattice Gauge Theories with Continuous Groups

    L. Tagliacozzo, A. Celi, and M. Lewenstein. “Tensor Networks for Lattice Gauge Theories with Continuous Groups”.Physical Review X, Nov. 2014.doi: 10.1103/PhysRevX.4.041024

  92. [101]

    Simulating Lattice Gauge Theories on a Quantum Computer

    Tim Byrnes and Yoshihisa Yamamoto. “Simulating Lattice Gauge Theories on a Quantum Computer”. Physical Review A, Feb. 2006.doi: 10.1103/PhysRevA.73.022328

  93. [102]

    Toward Scalable Simulations of Lattice Gauge Theories on Quantum Computers

    Simon V. Mathis, Guglielmo Mazzola, and Ivano Tavernelli. “Toward Scalable Simulations of Lattice Gauge Theories on Quantum Computers”.Physical Review D, Nov. 2020.doi: 10.1103/PhysRevD.102.094501

  94. [103]

    Towards Analog Quantum Simulations of Lattice Gauge Theories with Trapped Ions

    Zohreh Davoudi, Mohammad Hafezi, Christopher Monroe, Guido Pagano, Alireza Seif, and Andrew Shaw. “Towards Analog Quantum Simulations of Lattice Gauge Theories with Trapped Ions”. Physical Review Research, Apr. 2020.doi: 10.1103/PhysRevResearch.2.023015

  95. [104]

    Gauge-Invariant Quantum Circuits for $U$(1) and Yang-Mills Lattice Gauge Theories

    Giulia Mazzola, Simon V. Mathis, Guglielmo Mazzola, and Ivano Tavernelli. “Gauge-Invariant Quantum Circuits for $U$(1) and Yang-Mills Lattice Gauge Theories”.Physical Review Research, Dec. 2021.doi: 10.1103/PhysRevResearch.3.043209

  96. [105]

    Investigating a $(3+1)\mathrm{D}$ Topological $\ensuremath{\theta}$-Term in the Hamiltonian Formulation of Lattice Gauge Theories for Quantum and Classical Simulations

    Angus Kan, Lena Funcke, Stefan Kühn, Luca Dellantonio, Jinglei Zhang, Jan F. Haase, Christine A. Muschik, and Karl Jansen. “Investigating a $(3+1)\mathrm{D}$ Topological $\ensuremath{\theta}$-Term in the Hamiltonian Formulation of Lattice Gauge Theories for Quantum and Classic...

  97. [106]

    Quantum Simulation of Lattice Gauge Theories in More than One Space Dimension—Requirements, Challenges and Methods

    Erez Zohar. “Quantum Simulation of Lattice Gauge Theories in More than One Space Dimension—Requirements, Challenges and Methods”.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Dec. 2021.doi: 10.1098/rsta.2021.0069

  98. [107]

    Hamiltonians and Gauge-Invariant Hilbert Space for Lattice Yang-Mills-like Theories with Finite Gauge Group

    A. Mariani, S. Pradhan, and E. Ercolessi. “Hamiltonians and Gauge-Invariant Hilbert Space for Lattice Yang-Mills-like Theories with Finite Gauge Group”.Physical Review D, June 2023.doi: 10.1103/PhysRevD.107.114513

  99. [108]

    Dynamical Quantum Phase Transitions of the Schwinger Model: Real-Time Dynamics on IBM Quantum

    Domenico Pomarico, Leonardo Cosmai, Paolo Facchi, Cosmo Lupo, Saverio Pascazio, and Francesco V. Pepe. “Dynamical Quantum Phase Transitions of the Schwinger Model: Real-Time Dynamics on IBM Quantum”.Entropy, Apr. 2023.doi: 10.3390/e25040608

  100. [109]

    Quantum Simulation of Fundamental Particles and Forces

    Christian W. Bauer, Zohreh Davoudi, Natalie Klco, and Martin J. Savage. “Quantum Simulation of Fundamental Particles and Forces”.Nature Reviews Physics, July 2023.doi: 10.1038/s42254-023-00599-8

  101. [110]

    Quantum Simulation for High-Energy Physics

    Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, Tanmoy Bhattacharya, Marcela Carena, Wibe A. de Jong, Patrick Draper, Aida El-Khadra, Nate Gemelke, Masanori Hanada, Dmitri Kharzeev, Henry Lamm, Ying-Ying Li, Junyu Liu, Mikhail Lukin, Yannick Meurice, Christopher Monroe...

  102. [111]

    Quantum Simulator of Link Models Using Spinor Dipolar Ultracold Atoms

    Pierpaolo Fontana, Joao C. Pinto Barros, and Andrea Trombettoni. “Quantum Simulator of Link Models Using Spinor Dipolar Ultracold Atoms”.Physical Review A, Apr. 2023.doi: 10.1103/PhysRevA.107.043312

  103. [112]

    A Resource Efficient Approach for Quantum and Classical Simulations of Gauge Theories in Particle Physics

    Jan F. Haase, Luca Dellantonio, Alessio Celi, Danny Paulson, Angus Kan, Karl Jansen, and Christine A. Muschik. “A Resource Efficient Approach for Quantum and Classical Simulations of Gauge Theories in Particle Physics”.Quantum, Feb. 2021.doi: 10.22331/q-2021-02-04-393

  104. [113]

    Digitizing Gauge Fields: Lattice Monte Carlo Results for Future Quantum Computers

    Daniel C. Hackett, Kiel Howe, Ciaran Hughes, William Jay, Ethan T. Neil, and James N. Simone. “Digitizing Gauge Fields: Lattice Monte Carlo Results for Future Quantum Computers”. Physical Review A, June 2019.doi: 10.1103/PhysRevA.99.062341

  105. [114]

    Zache, Daniel González-Cuadra, and Peter Zoller.Quantum and Classical Spin Network Algorithms for $q$-Deformed Kogut-Susskind Gauge Theories

    Torsten V. Zache, Daniel González-Cuadra, and Peter Zoller.Quantum and Classical Spin Network Algorithms for $q$-Deformed Kogut-Susskind Gauge Theories. May 2023.doi: 10.48550/arXiv.2304.02527

  106. [115]

    Eliminating Fermionic Matter Fields in Lattice Gauge Theories

    Erez Zohar and J. Ignacio Cirac. “Eliminating Fermionic Matter Fields in Lattice Gauge Theories”. Physical Review B, Aug. 2018.doi: 10.1103/PhysRevB.98.075119

  107. [116]

    Removing Staggered Fermionic Matter in U(N) and SU(N) Lattice Gauge Theories

    Erez Zohar and J. Ignacio Cirac. “Removing Staggered Fermionic Matter in U(N) and SU(N) Lattice Gauge Theories”.Physical Review D, June 2019.doi: 10.1103/PhysRevD.99.114511

  108. [117]

    Bardin, Rami Barends, Andreas Bengtsson, Sergio Boixo, Michael Broughton, Bob B

    Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Andreas Bengtsson, Sergio Boixo, Michael Broughton, Bob B. Buckley, David A. Buell, Brian Burkett, Nicholas Bushnell, Yu Chen, Zijun Chen, Yu-An Chen, Ben Chiaro, Roberto Collins, Stephen J. Cot...

  109. [118]

    Digital Quantum Simulation of Fermionic Models with a Superconducting Circuit

    R. Barends, L. Lamata, J. Kelly, L. García-Álvarez, A. G. Fowler, A. Megrant, E. Jeffrey, T. C. White, D. Sank, J. Y. Mutus, B. Campbell, Yu Chen, Z. Chen, B. Chiaro, A. Dunsworth, I.-C. Hoi, C. Neill, P. J. J. O’Malley, C. Quintana, P. Roushan, A. Vainsencher, J. Wenner, E. S...

  110. [119]

    Digital Quantum Simulation of Spin Models with Circuit Quantum Electrodynamics

    Y. Salathé, M. Mondal, M. Oppliger, J. Heinsoo, P. Kurpiers, A. Potočnik, A. Mezzacapo, U. Las Heras, L. Lamata, E. Solano, S. Filipp, and A. Wallraff. “Digital Quantum Simulation of Spin Models with Circuit Quantum Electrodynamics”.Physical Review X, June 2015.doi: 10.1103/Ph...

  111. [120]

    Scalable Quantum Simulation of Molecular Energies

    P. J. J. O’Malley, R. Babbush, I. D. Kivlichan, J. Romero, J. R. McClean, R. Barends, J. Kelly, P. Roushan, A. Tranter, N. Ding, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. G. Fowler, E. Jeffrey, E. Lucero, A. Megrant, J. Y. Mutus, M. Neeley, C. Neill, C. Quinta...

  112. [121]

    Observing Ground-State Properties of the Fermi-Hubbard Model Using a Scalable Algorithm on a Quantum Computer

    Stasja Stanisic, Jan Lukas Bosse, Filippo Maria Gambetta, Raul A. Santos, Wojciech Mruczkiewicz, Thomas E. O’Brien, Eric Ostby, and Ashley Montanaro. “Observing Ground-State Properties of the Fermi-Hubbard Model Using a Scalable Algorithm on a Quantum Computer”.Nature Communic...

  113. [122]

    Über das Paulische Äquivalenzverbot

    P. Jordan and E. Wigner. “Über das Paulische Äquivalenzverbot”.Zeitschrift für Physik, Sept

  114. [123]

    Quantum Computation as Geometry

    Michael A. Nielsen, Mark R. Dowling, Mile Gu, and Andrew C. Doherty. “Quantum Computation as Geometry”.Science, Feb. 2006.doi: 10.1126/science.1121541

  115. [124]

    Fermionic Quantum Computation

    Sergey B. Bravyi and Alexei Yu. Kitaev. “Fermionic Quantum Computation”.Annals of Physics, May 2002. doi: 10.1006/aphy.2002.6254

  116. [125]

    Majorana Loop Stabilizer Codes for Error Mitigation in Fermionic Quantum Simulations

    Zhang Jiang, Jarrod McClean, Ryan Babbush, and Hartmut Neven. “Majorana Loop Stabilizer Codes for Error Mitigation in Fermionic Quantum Simulations”.Physical Review Applied, Dec

  117. [126]

    Cold-Atom Quantum Simulator for SU(2) Yang-Mills Lattice Gauge Theory

    Erez Zohar, J. Ignacio Cirac, and Benni Reznik. “Cold-Atom Quantum Simulator for SU(2) Yang-Mills Lattice Gauge Theory”.Physical Review Letters, Mar. 2013.doi: 10.1103/PhysRevLett.110.125304

  118. [127]

    Atomic Quantum Simulation of $\mathbf{U}(N)$ and $\mathrm{SU}(N)$ Non-Abelian Lattice Gauge Theories

    D. Banerjee, M. Bögli, M. Dalmonte, E. Rico, P. Stebler, U.-J. Wiese, and P. Zoller. “Atomic Quantum Simulation of $\mathbf{U}(N)$ and $\mathrm{SU}(N)$ Non-Abelian Lattice Gauge Theories”. Physical Review Letters, Mar. 2013.doi: 10.1103/PhysRevLett.110.125303

  119. [128]

    Ultracold Quantum Gases and Lattice Systems: Quantum Simulation of Lattice Gauge Theories

    U.-J. Wiese. “Ultracold Quantum Gases and Lattice Systems: Quantum Simulation of Lattice Gauge Theories”.Annalen der Physik, Nov. 2013.doi: 10.1002/andp.201300104

  120. [129]

    Simulations of Non-Abelian Gauge Theories with Optical Lattices

    L. Tagliacozzo, A. Celi, P. Orland, M. W. Mitchell, and M. Lewenstein. “Simulations of Non-Abelian Gauge Theories with Optical Lattices”.Nature Communications, Dec. 2013.doi: 10.1038/ncomms3615

  121. [130]

    Quantum Simulations of Lattice Gauge Theories Using Ultracold Atoms in Optical Lattices

    Erez Zohar, J. Ignacio Cirac, and Benni Reznik. “Quantum Simulations of Lattice Gauge Theories Using Ultracold Atoms in Optical Lattices”.Reports on Progress in Physics, Dec. 2015. doi: 10.1088/0034-4885/79/1/014401

  122. [131]

    Non-Abelian SU(2) Lattice Gauge Theories in Superconducting Circuits

    A. Mezzacapo, E. Rico, C. Sabín, I. L. Egusquiza, L. Lamata, and E. Solano. “Non-Abelian SU(2) Lattice Gauge Theories in Superconducting Circuits”.Physical Review Letters, Dec. 2015. doi: 10.1103/PhysRevLett.115.240502

  123. [132]

    doi: 10.1103/PhysRevApplied.12.064041

  124. [133]

    Simulating Lattice Gauge Theories within Quantum Technologies

    Mari Carmen Bañuls, Rainer Blatt, Jacopo Catani, Alessio Celi, Juan Ignacio Cirac, Marcello Dalmonte, Leonardo Fallani, Karl Jansen, Maciej Lewenstein, Simone Montangero, Christine A. Muschik, Benni Reznik, Enrique Rico, Luca Tagliacozzo, Karel Van Acoleyen, Frank Verstraete, ...

  125. [134]

    SU(2) Hadrons on a Quantum Computer via a Variational Approach

    Yasar Y. Atas, Jinglei Zhang, Randy Lewis, Amin Jahanpour, Jan F. Haase, and Christine A. Muschik. “SU(2) Hadrons on a Quantum Computer via a Variational Approach”. Nature Communications, Nov. 2021.doi: 10.1038/s41467-021-26825-4

  126. [135]

    Standard Model Physics and the Digital Quantum Revolution: Thoughts about the Interface

    Natalie Klco, Alessandro Roggero, and Martin J. Savage. “Standard Model Physics and the Digital Quantum Revolution: Thoughts about the Interface”.Reports on Progress in Physics, May 2022. doi: 10.1088/1361-6633/ac58a4

  127. [136]

    Osborn, Ryo Sakai, Judah Unmuth-Yockey, Simon Catterall, and Rolando D

    Yannick Meurice, James C. Osborn, Ryo Sakai, Judah Unmuth-Yockey, Simon Catterall, and Rolando D. Somma.Tensor Networks for High Energy Physics: Contribution to Snowmass 2021. Mar. 2022. doi: 10.48550/arXiv.2203.04902

  128. [137]

    Atas, Jan F

    Yasar Y. Atas, Jan F. Haase, Jinglei Zhang, Victor Wei, Sieglinde M.-L. Pfaendler, Randy Lewis, and Christine A. Muschik.Simulating One-Dimensional Quantum Chromodynamics on a Quantum Computer: Real-Time Evolutions of Tetra- and Pentaquarks. Feb. 2023.doi: 10.48550/arXiv.2207.03473

  129. [138]

    Shaw, and Jesse R

    Zohreh Davoudi, Alexander F. Shaw, and Jesse R. Stryker.General Quantum Algorithms for Hamiltonian Simulation with Applications to a Non-Abelian Lattice Gauge Theory. Jan. 2023. doi: 10.48550/arXiv.2212.14030. BIBLIOGRAPHY 147

  130. [139]

    Review on Novel Methods for Lattice Gauge Theories

    Mari Carmen Bañuls and Krzysztof Cichy. “Review on Novel Methods for Lattice Gauge Theories”. Reports on Progress in Physics, Jan. 2020.doi: 10.1088/1361-6633/ab6311

  131. [140]

    What Limits the Simulation of Quantum Computers?

    Yiqing Zhou, E. Miles Stoudenmire, and Xavier Waintal. “What Limits the Simulation of Quantum Computers?”Physical Review X, Nov. 2020.doi: 10.1103/PhysRevX.10.041038

  132. [141]

    Density-Matrix Renormalization Group Algorithm for Simulating Quantum Circuits with a Finite Fidelity

    Thomas Ayral, Thibaud Louvet, Yiqing Zhou, Cyprien Lambert, E. Miles Stoudenmire, and Xavier Waintal. “Density-Matrix Renormalization Group Algorithm for Simulating Quantum Circuits with a Finite Fidelity”.PRX Quantum, Apr. 2023.doi: 10.1103/PRXQuantum.4.020304

  133. [142]

    Neil, Christian W

    Zohreh Davoudi, Ethan T. Neil, Christian W. Bauer, Tanmoy Bhattacharya, Thomas Blum, Peter Boyle, Richard C. Brower, Simon Catterall, Norman H. Christ, Vincenzo Cirigliano, Gilberto Colangelo, Carleton DeTar, William Detmold, Robert G. Edwards, Aida X. El-Khadra, Steven Gottli...

  134. [143]

    Digital Quantum Simulation of a (1+1)D SU(2) Lattice Gauge Theory with Ion Qudits

    Giuseppe Calajó, Giuseppe Magnifico, Claire Edmunds, Martin Ringbauer, Simone Montangero, and Pietro Silvi. “Digital Quantum Simulation of a (1+1)D SU(2) Lattice Gauge Theory with Ion Qudits”.PRX Quantum, Oct. 2024.doi: 10.1103/PRXQuantum.5.040309

  135. [144]

    Hamiltonian Formulation of Wilson’s Lattice Gauge Theories

    John Kogut and Leonard Susskind. “Hamiltonian Formulation of Wilson’s Lattice Gauge Theories”. Physical Review D, Jan. 1975.doi: 10.1103/PhysRevD.11.395

  136. [145]

    Quantum Fields on the Computer

    Michael Creutz. Quantum Fields on the Computer. World Scientific, 1992.isbn: 978-981-02-0940-7

  137. [146]

    Fermion-Qudit Quantum Processors for Simulating Lattice Gauge Theories with Matter

    Torsten V. Zache, Daniel González-Cuadra, and Peter Zoller. “Fermion-Qudit Quantum Processors for Simulating Lattice Gauge Theories with Matter”.Quantum, Oct. 2023.doi: 10.22331/q-2023-10-16-1140

  138. [147]

    June 2024.doi: 10.48550/arXiv.2404.17545

    Arianna Crippa, Simone Romiti, Lena Funcke, Karl Jansen, Stefan Kühn, Paolo Stornati, and Carsten Urbach.Towards Determining the (2+1)-Dimensional Quantum Electrodynamics Running Coupling with Monte Carlo and Quantum Computing Methods. June 2024.doi: 10.48550/arXiv.2404.17545

  139. [148]

    Lattice Fermions

    Leonard Susskind. “Lattice Fermions”. Physical Review D, Nov. 1977.doi: 10.1103/PhysRevD.16.3031

  140. [149]

    Absence of Neutrinos on a Lattice: (I). Proof by Homotopy Theory

    H. B. Nielsen and M. Ninomiya. “Absence of Neutrinos on a Lattice: (I). Proof by Homotopy Theory”. Nuclear Physics B, July 1981.doi: 10.1016/0550-3213(81)90361-8

  141. [150]

    Absence of Neutrinos on a Lattice: (II). Intuitive Topological Proof

    H. B. Nielsen and M. Ninomiya. “Absence of Neutrinos on a Lattice: (II). Intuitive Topological Proof”. Nuclear Physics B, Dec. 1981.doi: 10.1016/0550-3213(81)90524-1

  142. [151]

    Wilson Fermions and Axion Electrodynamics in Optical Lattices

    A. Bermudez, L. Mazza, M. Rizzi, N. Goldman, M. Lewenstein, and M. A. Martin-Delgado. “Wilson Fermions and Axion Electrodynamics in Optical Lattices”.Physical Review Letters, Nov

  143. [152]

    An Optical-Lattice-Based Quantum Simulator for Relativistic Field Theories and Topological Insulators

    Leonardo Mazza, Alejandro Bermudez, Nathan Goldman, Matteo Rizzi, Miguel Angel Martin-Delgado, and Maciej Lewenstein. “An Optical-Lattice-Based Quantum Simulator for Relativistic Field Theories and Topological Insulators”.New Journal of Physics, Jan. 2012. doi: 10.1088/1367-26...

  144. [153]

    Strategies for the Determination of the Running Coupling of ($2+1$)-Dimensional QED with Quantum Computing

    Giuseppe Clemente, Arianna Crippa, and Karl Jansen. “Strategies for the Determination of the Running Coupling of ($2+1$)-Dimensional QED with Quantum Computing”.Physical Review D, Dec. 2022. doi: 10.1103/PhysRevD.106.114511

  145. [154]

    Quantum Simulation of Lattice Gauge Theories Using Wilson Fermions

    T. V. Zache, F. Hebenstreit, F. Jendrzejewski, M. K. Oberthaler, J. Berges, and P. Hauke. “Quantum Simulation of Lattice Gauge Theories Using Wilson Fermions”.Quantum Science and Technology, June 2018.doi: 10.1088/2058-9565/aac33b

  146. [155]

    Marco Rigobello, Giuseppe Magnifico, Pietro Silvi, and Simone Montangero.Hadrons in (1+1)D Hamiltonian Hardcore Lattice QCD. Sept. 2023.doi: 10.48550/arXiv.2308.04488

  147. [156]

    Spinors in n Dimensions

    Richard Brauer and Hermann Weyl. “Spinors in n Dimensions”.American Journal of Mathematics, 1935. doi: 10.2307/2371218. 148 BIBLIOGRAPHY

  148. [157]

    Mapping Local Hamiltonians of Fermions to Local Hamiltonians of Spins

    F. Verstraete and J. I. Cirac. “Mapping Local Hamiltonians of Fermions to Local Hamiltonians of Spins”.Journal of Statistical Mechanics: Theory and Experiment, Sept. 2005.doi: 10.1088/1742-5468/2005/09/P09012

  149. [158]

    Lattice Gauge Tensor Networks

    Pietro Silvi, Enrique Rico, Tommaso Calarco, and Simone Montangero. “Lattice Gauge Tensor Networks”. New Journal of Physics, Oct. 2014.doi: 10.1088/1367-2630/16/10/103015

  150. [159]

    doi: 10.1103/PhysRevLett.105.190404

  151. [160]

    Formulation of Lattice Gauge Theories for Quantum Simulations

    Erez Zohar and Michele Burrello. “Formulation of Lattice Gauge Theories for Quantum Simulations”. Physical Review D, Mar. 2015.doi: 10.1103/PhysRevD.91.054506

  152. [161]

    Generalized Lattice Wilson–Dirac Fermions in (1 + 1) Dimensions for Atomic Quantum Simulation and Topological Phases

    Yoshihito Kuno, Ikuo Ichinose, and Yoshiro Takahashi. “Generalized Lattice Wilson–Dirac Fermions in (1 + 1) Dimensions for Atomic Quantum Simulation and Topological Phases”. Scientific Reports, July 2018.doi: 10.1038/s41598-018-29143-w

  153. [162]

    Non-Perturbative Foundations of Quantum Field Theory

    Franco Strocchi. “Non-Perturbative Foundations of Quantum Field Theory”. In:An Introduction to Non-Perturbative Foundations of Quantum Field Theory. Ed. by Franco Strocchi. Oxford University Press, Feb. 2013, p. 0.isbn: 978-0-19-967157-1. doi: 10.1093/acprof:oso/9780199671571.003.0003

  154. [163]

    The Basis of the Physical Hilbert Space of Lattice Gauge Theories

    G. Burgio, R. De Pietri, H. A. Morales-Técotl, L. F. Urrutia, and J. D. Vergara. “The Basis of the Physical Hilbert Space of Lattice Gauge Theories”.Nuclear Physics B, Feb. 2000.doi: 10.1016/S0550-3213(99)00533-7

  155. [164]

    SU(2) Non-Abelian Gauge Theory on a Plaquette Chain Obeys Eigenstate Thermalization Hypothesis

    Xiaojun Yao. SU(2) Non-Abelian Gauge Theory on a Plaquette Chain Obeys Eigenstate Thermalization Hypothesis. June 2023.doi: 10.48550/arXiv.2303.14264

  156. [165]

    Simple Hamiltonian for Quantum Simulation of Strongly Coupled 2+1D SU(2) Lattice Gauge Theory on a Honeycomb Lattice

    Berndt Müller and Xiaojun Yao. Simple Hamiltonian for Quantum Simulation of Strongly Coupled 2+1D SU(2) Lattice Gauge Theory on a Honeycomb Lattice. June 2023.doi: 10.48550/arXiv.2307.00045

  157. [166]

    A Universal Qudit Quantum Processor with Trapped Ions

    Martin Ringbauer, Michael Meth, Lukas Postler, Roman Stricker, Rainer Blatt, Philipp Schindler, and Thomas Monz. “A Universal Qudit Quantum Processor with Trapped Ions”. Nature Physics, Sept. 2022.doi: 10.1038/s41567-022-01658-0

  158. [167]

    Loop, String, and Hadron Dynamics in SU(2) Hamiltonian Lattice Gauge Theories

    Indrakshi Raychowdhury and Jesse R. Stryker. “Loop, String, and Hadron Dynamics in SU(2) Hamiltonian Lattice Gauge Theories”.Physical Review D, June 2020.doi: 10.1103/PhysRevD.101.114502

  159. [168]

    Realization of a Quantum Integer-Spin Chain with Controllable Interactions

    C. Senko, P. Richerme, J. Smith, A. Lee, I. Cohen, A. Retzker, and C. Monroe. “Realization of a Quantum Integer-Spin Chain with Controllable Interactions”.Physical Review X, June 2015. doi: 10.1103/PhysRevX.5.021026

  160. [169]

    Variational Study of U(1) and SU(2) Lattice Gauge Theories with Gaussian States in $1+1$ Dimensions

    P. Sala, T. Shi, S. Kühn, M. C. Bañuls, E. Demler, and J. I. Cirac. “Variational Study of U(1) and SU(2) Lattice Gauge Theories with Gaussian States in $1+1$ Dimensions”.Physical Review D, Aug. 2018.doi: 10.1103/PhysRevD.98.034505

  161. [170]

    Atomic Quantum Simulation of a Three-Dimensional U(1) Gauge-Higgs Model

    Yoshihito Kuno, Shinya Sakane, Kenichi Kasamatsu, Ikuo Ichinose, and Tetsuo Matsui. “Atomic Quantum Simulation of a Three-Dimensional U(1) Gauge-Higgs Model”.Physical Review A, Dec

  162. [171]

    Quantum Simulation of the Universal Features of the Polyakov Loop

    Jin Zhang, J. Unmuth-Yockey, J. Zeiher, A. Bazavov, S.-W. Tsai, and Y. Meurice. “Quantum Simulation of the Universal Features of the Polyakov Loop”.Physical Review Letters, Nov. 2018. doi: 10.1103/PhysRevLett.121.223201

  163. [172]

    Real-Time-Dynamics Quantum Simulation of $(1+1)\text{-Dimensional}$ Lattice QED with Rydberg Atoms

    Simone Notarnicola, Mario Collura, and Simone Montangero. “Real-Time-Dynamics Quantum Simulation of $(1+1)\text{-Dimensional}$ Lattice QED with Rydberg Atoms”.Physical Review Research, Mar. 2020.doi: 10.1103/PhysRevResearch.2.013288

  164. [173]

    Efficient Tensor Network Ansatz for High-Dimensional Quantum Many-Body Problems

    Timo Felser, Simone Notarnicola, and Simone Montangero. “Efficient Tensor Network Ansatz for High-Dimensional Quantum Many-Body Problems”.Physical Review Letters, Apr. 2021.doi: 10.1103/PhysRevLett.126.170603

  165. [174]

    Efficient Numerical Simulations with Tensor Networks: Tensor Network Python (TeNPy)

    Johannes Hauschild and Frank Pollmann. “Efficient Numerical Simulations with Tensor Networks: Tensor Network Python (TeNPy)”.SciPost Physics Lecture Notes, Oct. 2018.doi: 10.21468/SciPostPhysLectNotes.5. BIBLIOGRAPHY 149

  166. [175]

    Simulating 2D Effects in Lattice Gauge Theories on a Quantum Computer

    Danny Paulson, Luca Dellantonio, Jan F. Haase, Alessio Celi, Angus Kan, Andrew Jena, Christian Kokail, Rick van Bijnen, Karl Jansen, Peter Zoller, and Christine A. Muschik. “Simulating 2D Effects in Lattice Gauge Theories on a Quantum Computer”.PRX Quantum, Aug. 2021. doi: 10....

  167. [176]

    Search for Efficient Formulations for Hamiltonian Simulation of Non-Abelian Lattice Gauge Theories

    Zohreh Davoudi, Indrakshi Raychowdhury, and Andrew Shaw. “Search for Efficient Formulations for Hamiltonian Simulation of Non-Abelian Lattice Gauge Theories”.Physical Review D, Oct

  168. [177]

    Real-Time Dynamics and Proposal for Feasible Experiments of Lattice Gauge–Higgs Model Simulated by Cold Atoms

    Yoshihito Kuno, Kenichi Kasamatsu, Yoshiro Takahashi, Ikuo Ichinose, and Tetsuo Matsui. “Real-Time Dynamics and Proposal for Feasible Experiments of Lattice Gauge–Higgs Model Simulated by Cold Atoms”.New Journal of Physics, June 2015.doi: 10.1088/1367-2630/17/6/063005

  169. [178]

    QED_3 on a Space-Time Lattice: A Comparison between Compact and Noncompact Formulation

    Roberto Fiore, Pietro Giudice, Domenico Giuliano, Donatella Marmottini, Alessandro Papa, and Pasquale Sodano. “QED_3 on a Space-Time Lattice: A Comparison between Compact and Noncompact Formulation”. In:Proceedings of XXIIIrd International Symposium on Lattice Field Theory — P...

  170. [179]

    doi: 10.1103/PhysRevA.94.063641

  171. [180]

    Beta Function of Three-Dimensional QED

    Benjamin Svetitsky, Ohad Raviv, and Yigal Shamir. “Beta Function of Three-Dimensional QED”. In:Proceedings of The 32nd International Symposium on Lattice Field Theory — PoS(LATTICE2014). Vol. 214. SISSA Medialab, May 2015, p. 051.doi: 10.22323/1.214.0051

  172. [181]

    Hamiltonian Limit of Lattice QED in 2+1 Dimensions

    Lena Funcke, Christiane Franziska Groß, Karl Jansen, Stefan Kühn, Simone Romiti, and Carsten Urbach. “Hamiltonian Limit of Lattice QED in 2+1 Dimensions”. In:Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). Vol. 430. SISSA Medialab, A...

  173. [182]

    Kogut.The Phases of Non-Compact QED(3)

    Costas Strouthos and John B. Kogut.The Phases of Non-Compact QED(3). Apr. 2008.doi: 10.48550/arXiv.0804.0300

  174. [183]

    Quantum and Classical Methods for Lattice Gauge Theories in Higher Dimensions

    Julian Bender. “Quantum and Classical Methods for Lattice Gauge Theories in Higher Dimensions”. PhD thesis. Technische Universität München, 2023

  175. [184]

    Trailhead for Quantum Simulation of SU(3) Yang-Mills Lattice Gauge Theory in the Local Multiplet Basis

    Anthony Ciavarella, Natalie Klco, and Martin J. Savage. “Trailhead for Quantum Simulation of SU(3) Yang-Mills Lattice Gauge Theory in the Local Multiplet Basis”.Physical Review D, May

  176. [185]

    Soley, Eleanor Crane, S

    Christopher Kang, Micheline B. Soley, Eleanor Crane, S. M. Girvin, and Nathan Wiebe. Leveraging Hamiltonian Simulation Techniques to Compile Operations on Bosonic Devices. Mar

  177. [186]

    Grotendorst, A

    J. Grotendorst, A. Muramatsu, and D. Marx.Quantum Simulations of Complex Many-Body Systems: From Theory to Algorithms, Lecture Notes; Winter School, 25 February - 1 March 2002, Rolduc Conference Centre, Kerkrade, The Netherlands. Tech. rep. PreJuSER-24560. John von Neumann Ins...

  178. [187]

    doi: 10.1103/PhysRevD.104.074505

  179. [188]

    Provably Accurate Simulation of Gauge Theories and Bosonic Systems

    Yu Tong, Victor V. Albert, Jarrod R. McClean, John Preskill, and Yuan Su. “Provably Accurate Simulation of Gauge Theories and Bosonic Systems”.Quantum, Sept. 2022.doi: 10.22331/q-2022-09-22-816

  180. [189]

    Tensor Network Decompositions in the Presence of a Global Symmetry

    Sukhwinder Singh, Robert N. C. Pfeifer, and Guifré Vidal. “Tensor Network Decompositions in the Presence of a Global Symmetry”.Physical Review A, Nov. 2010.doi: 10.1103/PhysRevA.82.050301

  181. [190]

    Nonperturbative Beta Function in Three-Dimensional Electrodynamics

    Ohad Raviv, Yigal Shamir, and Benjamin Svetitsky. “Nonperturbative Beta Function in Three-Dimensional Electrodynamics”.Physical Review D, July 2014.doi: 10.1103/PhysRevD.90.014512

  182. [191]

    Plenio and S

    Martin B. Plenio and S. Virmani.An Introduction to Entanglement Measures. June 2006.doi: 10.48550/arXiv.quant-ph/0504163

  183. [192]

    Entanglement in Many-Body Systems

    Luigi Amico, Rosario Fazio, Andreas Osterloh, and Vlatko Vedral. “Entanglement in Many-Body Systems”. Reviews of Modern Physics, May 2008.doi: 10.1103/RevModPhys.80.517

  184. [193]

    Entanglement Entropy and Quantum Field Theory

    Pasquale Calabrese and John Cardy. “Entanglement Entropy and Quantum Field Theory”. Journal of Statistical Mechanics: Theory and Experiment, June 2004.doi: 10.1088/1742-5468/2004/06/P06002. 150 BIBLIOGRAPHY

  185. [194]

    An Area Law for One-Dimensional Quantum Systems

    M. B. Hastings. “An Area Law for One-Dimensional Quantum Systems”.Journal of Statistical Mechanics: Theory and Experiment, Aug. 2007.doi: 10.1088/1742-5468/2007/08/P08024

  186. [195]

    J. Eisert. Entanglement and Tensor Network States. Sept. 2013.doi: 10.48550/arXiv.1308.3318

  187. [196]

    Realistic Area-Law Bound on Entanglement from Exponentially Decaying Correlations

    Jaeyoon Cho. “Realistic Area-Law Bound on Entanglement from Exponentially Decaying Correlations”. Physical Review X, July 2018.doi: 10.1103/PhysRevX.8.031009

  188. [197]

    Area Laws in Quantum Systems: Mutual Information and Correlations

    Michael M. Wolf, Frank Verstraete, Matthew B. Hastings, and J. Ignacio Cirac. “Area Laws in Quantum Systems: Mutual Information and Correlations”.Physical Review Letters, Feb. 2008. doi: 10.1103/PhysRevLett.100.070502

  189. [198]

    Area Law for the Entropy of Low-Energy States

    Lluís Masanes. “Area Law for the Entropy of Low-Energy States”.Physical Review A, Nov. 2009. doi: 10.1103/PhysRevA.80.052104

  190. [199]

    Sign Problem in the Numerical Simulation of Many-Electron Systems

    E. Y. Loh, J. E. Gubernatis, R. T. Scalettar, S. R. White, D. J. Scalapino, and R. L. Sugar. “Sign Problem in the Numerical Simulation of Many-Electron Systems”.Physical Review B, May

  191. [200]

    Locality at the Boundary Implies Gap in the Bulk for 2D PEPS

    Michael J. Kastoryano, Angelo Lucia, and David Perez-Garcia. “Locality at the Boundary Implies Gap in the Bulk for 2D PEPS”.Communications in Mathematical Physics, Mar. 2019. doi: 10.1007/s00220-019-03404-9

  192. [201]

    Computational Studies of Quantum Spin Systems

    Anders W. Sandvik. “Computational Studies of Quantum Spin Systems”.AIP Conference Proceedings, Nov. 2010.doi: 10.1063/1.3518900

  193. [202]

    Matrix-Product Operators and States: NP-Hardness and Undecidability

    M. Kliesch, D. Gross, and J. Eisert. “Matrix-Product Operators and States: NP-Hardness and Undecidability”. Physical Review Letters, Oct. 2014.doi: 10.1103/PhysRevLett.113.160503

  194. [203]

    Tensor Network States and Algorithms in the Presence of a Global U(1) Symmetry

    Sukhwinder Singh, Robert N. C. Pfeifer, and Guifre Vidal. “Tensor Network States and Algorithms in the Presence of a Global U(1) Symmetry”.Physical Review B, Mar. 2011.doi: 10.1103/PhysRevB.83.115125

  195. [204]

    Density-Matrix Algorithms for Quantum Renormalization Groups

    Steven R. White. “Density-Matrix Algorithms for Quantum Renormalization Groups”.Physical Review B, Oct. 1993.doi: 10.1103/PhysRevB.48.10345

  196. [205]

    Gradient Methods for Variational Optimization of Projected Entangled-Pair States

    Laurens Vanderstraeten, Jutho Haegeman, Philippe Corboz, and Frank Verstraete. “Gradient Methods for Variational Optimization of Projected Entangled-Pair States”.Physical Review B, Oct. 2016. doi: 10.1103/PhysRevB.94.155123

  197. [206]

    Three-Dimensional Isometric Tensor Networks

    Maurits S. J. Tepaske and David J. Luitz. “Three-Dimensional Isometric Tensor Networks”. Physical Review Research, June 2021.doi: 10.1103/PhysRevResearch.3.023236

  198. [207]

    Multiscale Entanglement Renormalization Ansatz in Two Dimensions: Quantum Ising Model

    Lukasz Cincio, Jacek Dziarmaga, and Marek M. Rams. “Multiscale Entanglement Renormalization Ansatz in Two Dimensions: Quantum Ising Model”.Physical Review Letters, June 2008. doi: 10.1103/PhysRevLett.100.240603

  199. [208]

    Area Law of Noncritical Ground States in 1D Long-Range Interacting Systems

    Tomotaka Kuwahara and Keiji Saito. “Area Law of Noncritical Ground States in 1D Long-Range Interacting Systems”.Nature Communications, Sept. 2020.doi: 10.1038/s41467-020-18055-x

  200. [209]

    Efficient Classical Simulation of Slightly Entangled Quantum Computations

    Guifré Vidal. “Efficient Classical Simulation of Slightly Entangled Quantum Computations”. Physical Review Letters, Oct. 2003.doi: 10.1103/PhysRevLett.91.147902

  201. [210]

    Efficient Simulation of One-Dimensional Quantum Many-Body Systems

    Guifré Vidal. “Efficient Simulation of One-Dimensional Quantum Many-Body Systems”.Physical Review Letters, July 2004.doi: 10.1103/PhysRevLett.93.040502

  202. [211]

    Perez-Garcia, F

    D. Perez-Garcia, F. Verstraete, M. M. Wolf, and J. I. Cirac.Matrix Product State Representations. May 2007.doi: 10.48550/arXiv.quant-ph/0608197

  203. [212]

    Approximating the Ground State of Gapped Quantum Spin Systems

    Eman Hamza, Spyridon Michalakis, Bruno Nachtergaele, and Robert Sims. “Approximating the Ground State of Gapped Quantum Spin Systems”.Journal of Mathematical Physics, Sept. 2009. doi: 10.1063/1.3206662

  204. [213]

    Controlled Bond Expansion for DMRG Ground State Search at Single-Site Costs

    Andreas Gleis, Jheng-Wei Li, and Jan von Delft. “Controlled Bond Expansion for DMRG Ground State Search at Single-Site Costs”.Physical Review Letters, June 2023.doi: 10.1103/PhysRevLett.130.246402

  205. [214]

    Matrix-Product-State Method with a Dynamical Local Basis Optimization for Bosonic Systems out of Equilibrium

    C. Brockt, F. Dorfner, L. Vidmar, F. Heidrich-Meisner, and E. Jeckelmann. “Matrix-Product-State Method with a Dynamical Local Basis Optimization for Bosonic Systems out of Equilibrium”.Physical Review B, Dec. 2015.doi: 10.1103/PhysRevB.92.241106

  206. [215]

    Infinite Projected Entangled Pair States Algorithm Improved: Fast Full Update and Gauge Fixing

    Ho N. Phien, Johann A. Bengua, Hoang D. Tuan, Philippe Corboz, and Román Orús. “Infinite Projected Entangled Pair States Algorithm Improved: Fast Full Update and Gauge Fixing”. Physical Review B, July 2015.doi: 10.1103/PhysRevB.92.035142. BIBLIOGRAPHY 151

  207. [216]

    Density Matrix Formulation for Quantum Renormalization Groups

    Steven R. White. “Density Matrix Formulation for Quantum Renormalization Groups”.Physical Review Letters, Nov. 1992.doi: 10.1103/PhysRevLett.69.2863

  208. [217]

    Optimized Contraction Scheme for Tensor-Network States

    Z. Y. Xie, H. J. Liao, R. Z. Huang, H. D. Xie, J. Chen, Z. Y. Liu, and T. Xiang. “Optimized Contraction Scheme for Tensor-Network States”.Physical Review B, July 2017.doi: 10.1103/PhysRevB.96.045128

  209. [218]

    Finite Correlation Length Scaling with Infinite Projected Entangled-Pair States

    Philippe Corboz, Piotr Czarnik, Geert Kapteijns, and Luca Tagliacozzo. “Finite Correlation Length Scaling with Infinite Projected Entangled-Pair States”.Physical Review X, July 2018. doi: 10.1103/PhysRevX.8.031031

  210. [219]

    Tensor Network Annealing Algorithm for Two-Dimensional Thermal States

    A. Kshetrimayum, M. Rizzi, J. Eisert, and R. Orús. “Tensor Network Annealing Algorithm for Two-Dimensional Thermal States”.Physical Review Letters, Feb. 2019.doi: 10.1103/PhysRevLett.122.070502

  211. [220]

    On the Ordering of Sites in the Density Matrix Renormalization Group Using Quantum Mutual Information

    Mazen Ali. On the Ordering of Sites in the Density Matrix Renormalization Group Using Quantum Mutual Information. Mar. 2021.doi: 10.48550/arXiv.2103.01111

  212. [221]

    Adaptive-Weighted Tree Tensor Networks for Disordered Quantum Many-Body Systems

    Giovanni Ferrari, Giuseppe Magnifico, and Simone Montangero. “Adaptive-Weighted Tree Tensor Networks for Disordered Quantum Many-Body Systems”.Physical Review B, June 2022.doi: 10.1103/PhysRevB.105.214201

  213. [222]

    Understanding Repulsively Mediated Superconductivity of Correlated Electrons via Massively Parallel Density Matrix Renormalization Group

    A. Kantian, M. Dolfi, M. Troyer, and T. Giamarchi. “Understanding Repulsively Mediated Superconductivity of Correlated Electrons via Massively Parallel Density Matrix Renormalization Group”.Physical Review B, Aug. 2019.doi: 10.1103/PhysRevB.100.075138

  214. [223]

    Two-Dimensional Algorithm of the Density-Matrix Renormalization Group

    Tao Xiang, Jizhong Lou, and Zhaobin Su. “Two-Dimensional Algorithm of the Density-Matrix Renormalization Group”.Physical Review B, Aug. 2001.doi: 10.1103/PhysRevB.64.104414

  215. [224]

    Phase Diagram and Conformal String Excitations of Square Ice Using Gauge Invariant Matrix Product States

    Ferdinand Tschirsich, Simone Montangero, and Marcello Dalmonte. “Phase Diagram and Conformal String Excitations of Square Ice Using Gauge Invariant Matrix Product States”. SciPost Physics, Mar. 2019.doi: 10.21468/SciPostPhys.6.3.028

  216. [225]

    Equivalence and Solution of Anisotropic Spin-1 Models and Generalized t-J Fermion Models in One Dimension

    A. Klumper, A. Schadschneider, and J. Zittartz. “Equivalence and Solution of Anisotropic Spin-1 Models and Generalized t-J Fermion Models in One Dimension”.Journal of Physics A: Mathematical and General, Aug. 1991.doi: 10.1088/0305-4470/24/16/012

  217. [226]

    Linear Clustering of Objects with Multiple Attributes

    H. V. Jagadish. “Linear Clustering of Objects with Multiple Attributes”.SIGMOD Rec., May

  218. [227]

    Area Law and Real-Space Renormalization

    Andrew J. Ferris. “Area Law and Real-Space Renormalization”.Physical Review B, Mar. 2013. doi: 10.1103/PhysRevB.87.125139

  219. [228]

    Analysis of the Clustering Properties of the Hilbert Space-Filling Curve

    B. Moon, H. V. Jagadish, C. Faloutsos, and J. H. Saltz. “Analysis of the Clustering Properties of the Hilbert Space-Filling Curve”.IEEE Transactions on Knowledge and Data Engineering, 2001. doi: 10.1109/69.908985

  220. [229]

    Faster Methods for Contracting Infinite Two-Dimensional Tensor Networks

    M. T. Fishman, L. Vanderstraeten, V. Zauner-Stauber, J. Haegeman, and F. Verstraete. “Faster Methods for Contracting Infinite Two-Dimensional Tensor Networks”.Physical Review B, Dec

  221. [230]

    Ueber Die Stetige Abbildung Einer Line Auf Ein Flächenstück

    David Hilbert. “Ueber Die Stetige Abbildung Einer Line Auf Ein Flächenstück”.Mathematische Annalen, Sept. 1891.doi: 10.1007/BF01199431

  222. [231]

    Reordering Columns for Smaller Indexes

    Daniel Lemire and Owen Kaser. “Reordering Columns for Smaller Indexes”.Information Sciences, 2011. doi: 10.1016/j.ins.2011.02.002

  223. [232]

    Visualization of Genomic Data with the Hilbert Curve

    Simon Anders. “Visualization of Genomic Data with the Hilbert Curve”.Bioinformatics, Mar

  224. [233]

    Chakrabarti.Quantum Ising Phases and Transitions in Transverse Ising Models

    Sei Suzuki, Jun-ichi Inoue, and Bikas K. Chakrabarti.Quantum Ising Phases and Transitions in Transverse Ising Models. Vol. 862. Lecture Notes in Physics. Berlin, Heidelberg: Springer, 2013. isbn: 978-3-642-33038-4 978-3-642-33039-1.doi: 10.1007/978-3-642-33039-1

  225. [234]

    Ising Model with a Transverse Field in Two Dimensions: Phase Diagram and Critical Properties from a Real-Space Renormalization Group

    Zvi Friedman. “Ising Model with a Transverse Field in Two Dimensions: Phase Diagram and Critical Properties from a Real-Space Renormalization Group”.Physical Review B, Feb. 1978. doi: 10.1103/PhysRevB.17.1429. 152 BIBLIOGRAPHY

  226. [235]

    Topological Phases in Two-Legged Heisenberg Ladders with Alternating Interactions

    Greta Ghelli, Giuseppe Magnifico, Cristian Degli Esposti Boschi, and Elisa Ercolessi. “Topological Phases in Two-Legged Heisenberg Ladders with Alternating Interactions”.Physical Review B, Feb. 2020.doi: 10.1103/PhysRevB.101.085124

  227. [236]

    Spin Glasses: Redux: An Updated Experimental/Materials Survey

    J. A. Mydosh. “Spin Glasses: Redux: An Updated Experimental/Materials Survey”.Reports on Progress in Physics, Apr. 2015.doi: 10.1088/0034-4885/78/5/052501

  228. [237]

    Quantum Chemistry in the Age of Quantum Computing

    Yudong Cao, Jonathan Romero, Jonathan P. Olson, Matthias Degroote, Peter D. Johnson, Mária Kieferová, Ian D. Kivlichan, Tim Menke, Borja Peropadre, Nicolas P. D. Sawaya, Sukin Sim, Libor Veis, and Alán Aspuru-Guzik. “Quantum Chemistry in the Age of Quantum Computing”. Chemical...

  229. [238]

    Lehoucq, Danny C

    Richard B. Lehoucq, Danny C. Sorensen, and Chao Yang.ARPACK Users’ Guide: Solution of Large-Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods. SIAM, Jan. 1998. isbn: 978-0-89871-407-4

  230. [239]

    Parallelization Design on Multi-Core Platforms in Density Matrix Renormalization Group toward 2-D Quantum Strongly-Correlated Systems

    Susumu Yamada, Toshiyuki Imamura, and Masahiko Machida. “Parallelization Design on Multi-Core Platforms in Density Matrix Renormalization Group toward 2-D Quantum Strongly-Correlated Systems”. In:Proceedings of 2011 International Conference for High Performance Computing, Netw...

  231. [240]

    Entropy Scaling and Simulability by Matrix Product States

    Norbert Schuch, Michael M. Wolf, Frank Verstraete, and J. Ignacio Cirac. “Entropy Scaling and Simulability by Matrix Product States”.Physical Review Letters, Jan. 2008.doi: 10.1103/PhysRevLett.100.030504

  232. [241]

    doi: 10.1145/93605.98742

  233. [242]

    A Comparative Analysis of Some Two-Dimensional Orderings

    David M. Abel David J. Mark. “A Comparative Analysis of Some Two-Dimensional Orderings”. International Journal of Geographical Information Systems, 1990. doi: 10.1080/02693799008941526

  234. [243]

    Time-Dependent Variational Principle for Quantum Lattices

    Jutho Haegeman, J. Ignacio Cirac, Tobias J. Osborne, Iztok Pižorn, Henri Verschelde, and Frank Verstraete. “Time-Dependent Variational Principle for Quantum Lattices”.Physical Review Letters, Aug. 2011.doi: 10.1103/PhysRevLett.107.070601

  235. [244]

    Estimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data

    Tilmann Gneiting, Hana Ševčíková, and Donald B. Percival. “Estimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data”.Statistical Science, May 2012.doi: 10.1214/11-STS370

  236. [245]

    Superfluid-to-Mott Transition in a Bose-Hubbard Ring: Persistent Currents and Defect Formation

    L. Kohn, P. Silvi, M. Gerster, M. Keck, R. Fazio, G. E. Santoro, and S. Montangero. “Superfluid-to-Mott Transition in a Bose-Hubbard Ring: Persistent Currents and Defect Formation”. Physical Review A, Feb. 2020.doi: 10.1103/PhysRevA.101.023617

  237. [246]

    Review of Particle Physics

    R L Workman, V D Burkert, V Crede, E Klempt, U Thoma, L Tiator, K Agashe, G Aielli, B C Allanach, C Amsler, M Antonelli, E C Aschenauer, D M Asner, H Baer, Sw Banerjee, R M Barnett, L Baudis, C W Bauer, J J Beatty, V I Belousov, J Beringer, A Bettini, O Biebel, K M Black, E Bl...

  238. [247]

    Ariel Kelman, Umberto Borla, Itay Gomelski, Jonathan Elyovich, Gertian Roose, Patrick Emonts, and Erez Zohar.Gauged Gaussian PEPS – A High Dimensional Tensor Network Formulation for Lattice Gauge Theories. Apr. 2024.doi: 10.48550/arXiv.2404.13123

  239. [248]

    Studies of Polaron Motion: Part I. The Molecular-Crystal Model

    T Holstein. “Studies of Polaron Motion: Part I. The Molecular-Crystal Model”.Annals of Physics, Nov. 1959.doi: 10.1016/0003-4916(59)90002-8

  240. [249]

    Ultracold Quantum Gases in Optical Lattices

    Immanuel Bloch. “Ultracold Quantum Gases in Optical Lattices”.Nature Physics, Oct. 2005. doi: 10.1038/nphys138

  241. [250]

    Cavity Quantum Materials

    F. Schlawin, D. M. Kennes, and M. A. Sentef. “Cavity Quantum Materials”.Applied Physics Reviews, Feb. 2022.doi: 10.1063/5.0083825. BIBLIOGRAPHY 153

  242. [251]

    Quantum Phase Transition in a Two-Dimensional Quantum Ising Model: Tensor Network States and Ground-State Fidelity

    Sheng-Hao Li and Guo-Ping Lei. “Quantum Phase Transition in a Two-Dimensional Quantum Ising Model: Tensor Network States and Ground-State Fidelity”.Journal of Physics: Conference Series, Sept. 2018.doi: 10.1088/1742-6596/1087/5/052011

  243. [252]

    Density-Matrix Renormalization-Group Study of the Polaron Problem in the Holstein Model

    Eric Jeckelmann and Steven R. White. “Density-Matrix Renormalization-Group Study of the Polaron Problem in the Holstein Model”.Physical Review B, Mar. 1998.doi: 10.1103/PhysRevB.57.6376

  244. [253]

    Critical and Strong-Coupling Phases in One- and Two-Bath Spin-Boson Models

    Cheng Guo, Andreas Weichselbaum, Jan von Delft, and Matthias Vojta. “Critical and Strong-Coupling Phases in One- and Two-Bath Spin-Boson Models”.Physical Review Letters, Apr. 2012. doi: 10.1103/PhysRevLett.108.160401

  245. [254]

    Charge-Density-Wave Melting in the One-Dimensional Holstein Model

    Jan Stolpp, Jacek Herbrych, Florian Dorfner, Elbio Dagotto, and Fabian Heidrich-Meisner. “Charge-Density-Wave Melting in the One-Dimensional Holstein Model”.Physical Review B, Jan. 2020. doi: 10.1103/PhysRevB.101.035134

  246. [255]

    Open Source Matrix Product States: Exact Diagonalization and Other Entanglement-Accurate Methods Revisited in Quantum Systems

    Daniel Jaschke and Lincoln D. Carr. “Open Source Matrix Product States: Exact Diagonalization and Other Entanglement-Accurate Methods Revisited in Quantum Systems”.Journal of Physics A: Mathematical and Theoretical, Oct. 2018.doi: 10.1088/1751-8121/aae4d1

  247. [256]

    Simulating Open Quantum Dynamics with Time-Dependent Variational Matrix Product States: Towards Microscopic Correlation of Environment Dynamics and Reduced System Evolution

    Florian A. Y. N. Schröder and Alex W. Chin. “Simulating Open Quantum Dynamics with Time-Dependent Variational Matrix Product States: Towards Microscopic Correlation of Environment Dynamics and Reduced System Evolution”.Physical Review B, Feb. 2016.doi: 10.1103/PhysRevB.93.075105

  248. [257]

    Quantum Dynamics of Thermalizing Systems

    Christopher David White, Michael Zaletel, Roger S. K. Mong, and Gil Refael. “Quantum Dynamics of Thermalizing Systems”.Physical Review B, Jan. 2018.doi: 10.1103/PhysRevB.97.035127

  249. [258]

    Simulating the Out-of-Equilibrium Dynamics of Local Observables by Trading Entanglement for Mixture

    J. Surace, M. Piani, and L. Tagliacozzo. “Simulating the Out-of-Equilibrium Dynamics of Local Observables by Trading Entanglement for Mixture”.Physical Review B, June 2019.doi: 10.1103/PhysRevB.99.235115

  250. [259]

    Tensor Network Simulation of Multi-Environmental Open Quantum Dynamics via Machine Learning and Entanglement Renormalisation

    Florian A. Y. N. Schröder, David H. P. Turban, Andrew J. Musser, Nicholas D. M. Hine, and Alex W. Chin. “Tensor Network Simulation of Multi-Environmental Open Quantum Dynamics via Machine Learning and Entanglement Renormalisation”.Nature Communications, Mar. 2019. doi: 10.1038...

  251. [260]

    Time Dependent Variational Principle for Tree Tensor Networks

    Daniel Bauernfeind and Markus Aichhorn. “Time Dependent Variational Principle for Tree Tensor Networks”.SciPost Physics, Feb. 2020.doi: 10.21468/SciPostPhys.8.2.024

  252. [261]

    OpenMP: An Industry Standard API for Shared-Memory Programming

    L. Dagum and R. Menon. “OpenMP: An Industry Standard API for Shared-Memory Programming”. IEEE Computational Science and Engineering, Jan. 1998.doi: 10.1109/99.660313

  253. [262]

    Tensor Contractions with Extended BLAS Kernels on CPU and GPU

    Yang Shi, U. N. Niranjan, Animashree Anandkumar, and Cris Cecka. “Tensor Contractions with Extended BLAS Kernels on CPU and GPU”. In:2016 IEEE 23rd International Conference on High Performance Computing (HiPC). Dec. 2016, pp. 193–202.doi: 10.1109/HiPC.2016.031

  254. [263]

    High-Performance Tensor Contractions for GPUs

    A. Abdelfattah, M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, Tz. Kolev, I. Masliah, and S. Tomov. “High-Performance Tensor Contractions for GPUs”. Procedia Computer Science, Jan. 2016.doi: 10.1016/j.procs.2016.05.302

  255. [264]

    Jet: Fast Quantum Circuit Simulations with Parallel Task-Based Tensor-Network Contraction

    Trevor Vincent, Lee J. O’Riordan, Mikhail Andrenkov, Jack Brown, Nathan Killoran, Haoyu Qi, and Ish Dhand. “Jet: Fast Quantum Circuit Simulations with Parallel Task-Based Tensor-Network Contraction”.Quantum, May 2022.doi: 10.22331/q-2022-05-09-709

  256. [265]

    Simulation of Quantum Circuits Using the Big-Batch Tensor Network Method

    Feng Pan and Pan Zhang. “Simulation of Quantum Circuits Using the Big-Batch Tensor Network Method”.Physical Review Letters, Jan. 2022.doi: 10.1103/PhysRevLett.128.030501

  257. [266]

    Norman P. Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazi...

  258. [267]

    Comparative Study of State-of-the-Art Matrix-Product-State Methods for Lattice Models with Large Local Hilbert Spaces withoutU(1) Symmetry

    Jan Stolpp, Thomas Köhler, Salvatore R. Manmana, Eric Jeckelmann, Fabian Heidrich-Meisner, and Sebastian Paeckel. “Comparative Study of State-of-the-Art Matrix-Product-State Methods for Lattice Models with Large Local Hilbert Spaces withoutU(1) Symmetry”.Computer Physics Commu...

  259. [268]

    Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization

    Alan Morningstar, Markus Hauru, Jackson Beall, Martin Ganahl, Adam G.M. Lewis, Vedika Khemani, and Guifre Vidal. “Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization”.PRX Quantum, May 2022.doi: 10.1103/PRXQuantum.3.020331

  260. [269]

    Density Matrix Renormalization Group with Tensor Processing Units

    Martin Ganahl, Jackson Beall, Markus Hauru, Adam G.M. Lewis, Tomasz Wojno, Jae Hyeon Yoo, Yijian Zou, and Guifre Vidal. “Density Matrix Renormalization Group with Tensor Processing Units”.PRX Quantum, Feb. 2023.doi: 10.1103/PRXQuantum.4.010317

  261. [270]

    L. S. Blackford, J. Choi, A. Cleary, E. D’Azevedo, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley.ScaLAPACK Users’ Guide. Software, Environments, and Tools. Society for Industrial and Applied Mathematics, Jan. 1...

  262. [271]

    Density Matrix Approach to Local Hilbert Space Reduction

    Chunli Zhang, Eric Jeckelmann, and Steven R. White. “Density Matrix Approach to Local Hilbert Space Reduction”.Physical Review Letters, Mar. 1998.doi: 10.1103/PhysRevLett.80.2661

  263. [272]

    Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation

    Edgar Gabriel, Graham E. Fagg, George Bosilca, Thara Angskun, Jack J. Dongarra, Jeffrey M. Squyres, Vishal Sahay, Prabhanjan Kambadur, Brian Barrett, Andrew Lumsdaine, Ralph H. Castain, David J. Daniel, Richard L. Graham, and Timothy S. Woodall. “Open MPI: Goals, Concept, and ...

  264. [273]

    Exact Duality and Local Dynamics in SU(N) Lattice Gauge Theory

    Manu Mathur and Atul Rathor. “Exact Duality and Local Dynamics in SU(N) Lattice Gauge Theory”. Physical Review D, Apr. 2023.doi: 10.1103/PhysRevD.107.074504

  265. [274]

    Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo

    Jan Kessler, Francesco Calcavecchia, and Thomas D. Kühne. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo”.Advanced Theory and Simulations, 2021. doi: 10.1002/adts.202000269

  266. [275]

    Davide Bacilieri, Marco Ballarin, Giovanni Cataldi, Aurora Costantini, Daniel Jaschke, Giuseppe Magnifico, Simone Montangero, Simone Notarnicola, Alice Pagano, Luka Pavesic, Davide Rattacaso, Marco Rigobello, Nora Reinić, Simone Scarlatella, Pietro Silvi, and Darvin Wanisch.Qu...

  267. [276]

    The Principle of Minimized Iterations in the Solution of the Matrix Eigenvalue Problem

    W. E. Arnoldi. “The Principle of Minimized Iterations in the Solution of the Matrix Eigenvalue Problem”. Quarterly of Applied Mathematics, 1951. doi: 10.1090/qam/42792

  268. [277]

    Mixed-State Dynamics in One-Dimensional Quantum Lattice Systems: A Time-Dependent Superoperator Renormalization Algorithm

    Michael Zwolak and Guifré Vidal. “Mixed-State Dynamics in One-Dimensional Quantum Lattice Systems: A Time-Dependent Superoperator Renormalization Algorithm”.Physical Review Letters, Nov. 2004.doi: 10.1103/PhysRevLett.93.207205

  269. [278]

    Positive Tensor Network Approach for Simulating Open Quantum Many-Body Systems

    A. H. Werner, D. Jaschke, P. Silvi, M. Kliesch, T. Calarco, J. Eisert, and S. Montangero. “Positive Tensor Network Approach for Simulating Open Quantum Many-Body Systems”. Physical Review Letters, June 2016.doi: 10.1103/PhysRevLett.116.237201

  270. [279]

    Entanglement of Formation of Mixed Many-Body Quantum States via Tree Tensor Operators

    L. Arceci, P. Silvi, and S. Montangero. “Entanglement of Formation of Mixed Many-Body Quantum States via Tree Tensor Operators”.Physical Review Letters, Jan. 2022.doi: 10.1103/PhysRevLett.128.040501

  271. [280]

    SU(2) Lattice Gauge Theory in (2+1)D

    C. J. Hamer and A. C. Irving. “SU(2) Lattice Gauge Theory in (2+1)D”.Zeitschrift für Physik C Particles and Fields, June 1985.doi: 10.1007/BF01556621

  272. [281]

    Anomalous Dimensions on the Lattice

    Joel Giedt. “Anomalous Dimensions on the Lattice”.International Journal of Modern Physics A, Apr. 2016. doi: 10.1142/S0217751X16300118

  273. [282]

    Anyons in an Exactly Solved Model and Beyond

    Alexei Kitaev. “Anyons in an Exactly Solved Model and Beyond”.Annals of Physics, Jan. 2006. doi: 10.1016/j.aop.2005.10.005. BIBLIOGRAPHY 155

  274. [283]

    Simulation of Quantum Physics with Tensor Processing Units: Brute-Force Computation of Ground States and Time Evolution

    Markus Hauru, Alan Morningstar, Jackson Beall, Martin Ganahl, Adam Lewis, and Guifre Vidal. Simulation of Quantum Physics with Tensor Processing Units: Brute-Force Computation of Ground States and Time Evolution. Nov. 2021.doi: 10.48550/arXiv.2111.10466

  275. [284]

    On the Roughening Transition in Non-Abelian Lattice Gauge Theories

    Gernot Münster and Peter Weisz. “On the Roughening Transition in Non-Abelian Lattice Gauge Theories”. Nuclear Physics B, Mar. 1981.doi: 10.1016/0550-3213(81)90424-7

  276. [287]

    June 2017.doi: 10.48550/arXiv.1706.07191

    Yuechao Lu, Fumihiko Ino, and Yasuyuki Matsushita.High-Performance Out-of-Core Block Randomized Singular Value Decomposition on GPU. June 2017.doi: 10.48550/arXiv.1706.07191

  277. [289]

    Real-Space Parallel Density Matrix Renormalization Group

    E. M. Stoudenmire and Steven R. White. “Real-Space Parallel Density Matrix Renormalization Group”. Physical Review B, Apr. 2013.doi: 10.1103/PhysRevB.87.155137

  278. [290]

    Parallel Time-Dependent Variational Principle Algorithm for Matrix Product States

    Paul Secular, Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Stephen R. Clark, and Dieter Jaksch. “Parallel Time-Dependent Variational Principle Algorithm for Matrix Product States”. Physical Review B, June 2020.doi: 10.1103/PhysRevB.101.235123

  279. [292]

    Matrix Product Density Operators: Simulation of Finite-Temperature and Dissipative Systems

    F. Verstraete, J. J. García-Ripoll, and J. I. Cirac. “Matrix Product Density Operators: Simulation of Finite-Temperature and Dissipative Systems”.Physical Review Letters, Nov. 2004. doi: 10.1103/PhysRevLett.93.207204

  280. [299]

    Roughening Transition in Lattice Gauge Theories in Arbitrary Dimension: (II). The Groups Z3, U(1), SU(2), SU(3)

    J. M. Drouffe and J. B. Zuber. “Roughening Transition in Lattice Gauge Theories in Arbitrary Dimension: (II). The Groups Z3, U(1), SU(2), SU(3)”.Nuclear Physics B, Mar. 1981.doi: 10.1016/0550-3213(81)90419-3

  281. [1928]

    doi: 10.1007/BF01331938

  282. [1990]

    doi: 10.1103/PhysRevB.41.9301

  283. [2005]

    doi: 10.1103/PhysRevLett.94.170201

  284. [2009]

    doi: 10.1093/bioinformatics/btp152

  285. [2010]

    doi: 10.1103/PhysRevA.81.062335

  286. [2016]

    doi: 10.1016/j.aop.2016.08.008

  287. [2018]

    doi: 10.1103/PhysRevB.98.235148

  288. [2019]

    doi: 10.1038/s42254-019-0086-7

  289. [2020]

    doi: 10.1103/PhysRevX.10.041040

  290. [2021]

    doi: 10.1103/PhysRevD.103.094501

  291. [2023]

    doi: 10.48550/arXiv.2303.15542

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