Diagnosing phase transitions through time-scale entanglement
Pith reviewed 2026-05-19 04:46 UTC · model grok-4.3
The pith
Time-scale entanglement in quantum correlators increases near phase transitions and becomes scale-invariant at quantum critical points.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Time-scale entanglement, accessed via the bond dimension of an n-particle correlator in the quantics tensor train representation, is generically enhanced in the vicinity of phase transitions and crossovers; at quantum critical points it becomes scale-invariant. This enhancement holds across finite-size Hubbard rings, the transverse-field Ising model, the single-impurity Anderson model, and the Mott transition, and remains largely independent of the specific observable.
What carries the argument
Quantics tensor train representation of correlators, in which the bond dimension directly encodes the degree of coupling between different imaginary time scales.
If this is right
- Time-scale entanglement provides a universal diagnostic that detects both continuous and crossover transitions without requiring knowledge of an order parameter.
- At quantum critical points the scale-invariant behavior of the bond dimension offers a direct signature of criticality.
- The method applies equally to finite-size systems, impurity models, and lattice models such as the Hubbard and Ising cases.
- Because the enhancement is largely observable-independent, the same diagnostic can be reused across different correlation functions.
Where Pith is reading between the lines
- The same bond-dimension growth might appear in classical statistical mechanics near thermal critical points if imaginary-time correlators are replaced by spatial ones.
- Scale invariance at criticality suggests a possible link to renormalization-group flow, where relevant operators mix time scales.
- The approach could be tested on non-equilibrium steady states or driven systems to see whether time-scale entanglement also diagnoses dynamical phase transitions.
Load-bearing premise
The bond dimension in the quantics tensor train representation of an n-particle correlator faithfully encodes coupling between temporal scales in a way that is largely independent of the chosen observable.
What would settle it
A direct computation on a model with a known phase transition showing that the bond dimension stays flat or decreases when approaching the transition, or varies strongly with the choice of correlator.
Figures
read the original abstract
Spatial entanglement of quantum states has become a central paradigm of many-body physics. Here, we unearth a fundamentally different form of entanglement, the entanglement between imaginary time scales. This time-scale entanglement is accessible through quantics tensor train diagnostics (QTTD), where the bond dimension of an $n$-particle correlator encodes the coupling between temporal scales. Our central result is that time-scale entanglement is generically enhanced in the vicinity of phase transitions and crossovers. At quantum critical points, it becomes scale-invariant. We demonstrate time-scale entanglement across a range of systems, including finite-size Hubbard rings, the transverse-field Ising model, the single-impurity Anderson model, and the Mott transition in the Hubbard model. Remarkably, the enhanced time-scale entanglement is largely independent of the specific observable, establishing QTTD as a universal and unbiased diagnostic of criticality.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces 'time-scale entanglement' as a diagnostic for phase transitions, defined via the bond dimension of n-particle correlators in the quantics tensor train (QTT) representation. The central claim is that this entanglement is generically enhanced near phase transitions and crossovers, becomes scale-invariant at quantum critical points, and is largely independent of the specific observable chosen. Demonstrations are presented for finite-size Hubbard rings, the transverse-field Ising model, the single-impurity Anderson model, and the Mott transition in the Hubbard model.
Significance. If substantiated, the result offers a potentially universal, observable-independent diagnostic for criticality based on temporal scale coupling in tensor networks. The multi-model numerical evidence and the claim of scale invariance at QCPs could complement existing entanglement measures in condensed-matter theory, provided the mapping from bond dimension to inter-scale entanglement is shown to be robust rather than correlator-specific.
major comments (2)
- [Demonstrations and QTTD definition] The central claim that time-scale entanglement is 'largely independent of the specific observable' (abstract) is load-bearing but rests on the untested assumption that QTT bond dimension encodes genuine cross-scale couplings rather than observable-specific decay rates or analytic structure. Explicit variation of the quantics discretization (binary/dyadic splitting) and truncation thresholds across correlators (e.g., single-particle Green's function vs. two-particle susceptibility) is required to address this.
- [Numerical results] § on numerical evidence: the manuscript provides demonstrations across models but lacks quantitative metrics, error bars, or systematic checks against post-hoc parameter choices in the QTT representation, weakening the support for generic enhancement and scale invariance at QCPs.
minor comments (2)
- [Methods] Clarify the precise definition of the quantics mapping and how bond dimension is extracted from the tensor train; notation for the time-scale entanglement measure could be made more explicit.
- [Abstract] The abstract would benefit from a brief mention of the range of bond-dimension values or scaling exponents observed, to give readers a quantitative sense of the effect size.
Simulated Author's Rebuttal
We thank the referee for their careful reading and constructive feedback on our manuscript. We address each major comment below and will revise the manuscript accordingly to strengthen the presentation and robustness of our results on time-scale entanglement.
read point-by-point responses
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Referee: [Demonstrations and QTTD definition] The central claim that time-scale entanglement is 'largely independent of the specific observable' (abstract) is load-bearing but rests on the untested assumption that QTT bond dimension encodes genuine cross-scale couplings rather than observable-specific decay rates or analytic structure. Explicit variation of the quantics discretization (binary/dyadic splitting) and truncation thresholds across correlators (e.g., single-particle Green's function vs. two-particle susceptibility) is required to address this.
Authors: We agree that explicit tests of discretization and truncation choices would further substantiate the robustness of the QTTD bond dimension as a measure of cross-scale couplings. Our existing demonstrations already employ different correlators (single-particle Green's functions and two-particle susceptibilities) across multiple models and observe consistent qualitative behavior, which supports independence from specific analytic structure. In the revised manuscript we will add explicit comparisons varying binary versus dyadic quantics splittings and truncation thresholds for representative correlators in the transverse-field Ising model and Hubbard ring, confirming that the enhancement near transitions and scale invariance at criticality remain qualitatively unchanged. revision: yes
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Referee: [Numerical results] § on numerical evidence: the manuscript provides demonstrations across models but lacks quantitative metrics, error bars, or systematic checks against post-hoc parameter choices in the QTT representation, weakening the support for generic enhancement and scale invariance at QCPs.
Authors: We acknowledge that adding quantitative metrics and systematic checks will improve the clarity and strength of the numerical evidence. In the revision we will incorporate error bars derived from QTT truncation and discretization convergence, along with systematic parameter scans (e.g., maximum bond dimension and splitting level) for key figures in the Hubbard and Ising models. These additions will quantify the stability of the reported bond-dimension trends and provide stronger support for the generic enhancement and scale-invariance claims. revision: yes
Circularity Check
No significant circularity; central result is numerical observation across models
full rationale
The paper introduces QTTD by defining time-scale entanglement via the bond dimension of the quantics tensor train representation of correlators, then numerically computes this quantity for multiple models (Hubbard rings, Ising, Anderson, Mott transition) and observes enhancement near transitions and scale invariance at QCPs. This is an empirical demonstration rather than a derivation that reduces to its inputs by construction. No self-citations load-bear the central claim, no parameters are fitted and then relabeled as predictions, and the independence from specific observables is asserted from explicit cross-observable checks rather than assumed. The result does not rename a known pattern by fiat but reports a new diagnostic whose validity rests on the numerical evidence presented.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption The quantics tensor train representation of correlators accurately captures multi-scale temporal correlations without dominant truncation artifacts.
invented entities (1)
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time-scale entanglement
no independent evidence
Lean theorems connected to this paper
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IndisputableMonolith/Foundation/ArithmeticFromLogic.leanLogicNat embedding and 8-tick orbit structure unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
the bond dimension of an n-particle correlator encodes the coupling between temporal scales... time-scale entanglement is generically enhanced in the vicinity of phase transitions and crossovers. At quantum critical points, it becomes scale-invariant.
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IndisputableMonolith/Foundation/AlexanderDuality.leanSphereAdmitsCircleLinking D ↔ D=3 unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
quantics tensor train (QTT)... each tensor index σ_ℓ corresponds to an exponentially distinct length or time scale
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Forward citations
Cited by 1 Pith paper
-
Adaptive Patching for Tensor Train Computations
An adaptive patching method exploits block-sparse QTT structures to reduce computational costs for tensor contractions and enables efficient evaluation of bubble diagrams and Bethe-Salpeter equations.
Reference graph
Works this paper leans on
-
[1]
or using tensor cross interpolation (TCI) [ 25, 36, 37]. In Eq. (1), each Mℓis a Dℓ−1 ×2 ×Dℓtensor with “physical” binary index σℓand virtual indices (“bonds”) αℓ−1, αℓ, which are summed over. Eq. ( 1) translates to: (2) in tensor network form [ 15]. We define the (maximum) bond dimension of the QTT as Dmax = maxℓ(Dℓ). Generally, bond dimensions Dℓcharacte...
-
[2]
0 0.5 1.0 F (d) 10 − 1.5 10 − 1.0 10 − 0.5 10 0 . 0 10 0 . 5 10 1 . 0 10 1 . 5 / U 0.0 0.5 1.0 D max 75 100 125 150 175 U = 4.0 (e ) U 0 2 4 = 0.5 U ( f) 1/ T 30 50 70 FIG. 2. Four-site Hubbard ring with nearest-neighbor hopping only: (a) Dmax of the QTT for G↑↑↑↑ 1111 (τ1, τ2, τ3) at 1 / T = β= 50, ϵ= 10−14 and R = 6 in comparison to (b) the quantum Fish...
-
[3]
L. D. Landau, On the theory of phase transitions, Zh. Eksp. Teor. Fiz. 7, 19 (1937)
work page 1937
- [4]
- [5]
- [6]
-
[7]
P . Laurell, A. Scheie, E. Dagotto, and D. A. Tennant, Witnessing entanglement and quantum correlations in condensed matter: A review, Advanced Quantum Technologies 8, 2400196 (2025)
work page 2025
-
[8]
R. Horodecki, P . Horodecki, M. Horodecki, and K. Horodecki, Quantum entanglement, Rev. Mod. Phys. 81, 865 (2009)
work page 2009
-
[9]
G. Ro ´osz, A. Kauch, F. Bippus, D. Wieser, and K. Held, Two- site reduced density matrix from one- and two-particle Green’s functions, Physical Review B 110, 075115 (2024) , publisher: American Physical Society (APS)
work page 2024
- [10]
- [11]
- [12]
-
[13]
Quantum Fisher information in a strange metal
F. Mazza, S. Biswas, X. Y an, A. Prokofiev, P . Steffens, Q. Si, F. F. Assaad, and S. Paschen, Quantum Fisher information in a strange metal (2024), arXiv:2403.12779
work page internal anchor Pith review Pith/arXiv arXiv 2024
-
[14]
G. Bellomia, C. Mejuto-Zaera, M. Capone, and A. Amaricci, Quasilocal entanglement across the Mott-Hubbard transition, Phys. Rev. B 109, 115104 (2024)
work page 2024
- [15]
- [16]
-
[17]
U. Schollw ¨ock, The density-matrix renormalization group in the age of matrix product states, Annals of Physics 326, 96 (2011), january 2011 Special Issue
work page 2011
-
[18]
J. I. Cirac, D. P ´erez-Garc´ıa, N. Schuch, and F. V erstraete, Matrix product states and projected entangled pair states: Concepts, symmetries, theorems, Rev. Mod. Phys. 93, 045003 (2021)
work page 2021
- [19]
-
[20]
M. B. Hastings, An area law for one-dimensional quantum sys- tems, Journal of Statistical Mechanics: Theory and Experiment 2007, P08024 (2007)
work page 2007
- [21]
-
[22]
F. A. Wolf, I. P . McCulloch, and U. Schollw ¨ock, Solving nonequilibrium dynamical mean-field theory using matrix prod- uct states, Phys. Rev. B 90, 235131 (2014)
work page 2014
-
[23]
F. V erstraete and J. I. Cirac, Matrix product states represent ground states faithfully, Phys. Rev. B 73, 094423 (2006)
work page 2006
- [24]
-
[25]
I. V . Oseledets, Approximation of matrices with logarithmic number of parameters, Doklady Mathematics 80, 653 (2009)
work page 2009
-
[26]
I. V . Oseledets, Tensor-train decomposition,SIAM Journal on Scientific Computing 33, 2295 (2011)
work page 2011
-
[27]
Y . N´u˜nez Fern ´andez, M. Jeannin, P . T. Dumitrescu, T. Kloss, J. Kaye, O. Parcollet, and X. Waintal, Learning Feynman dia- grams with tensor trains, Physical Review X 12 (2022)
work page 2022
-
[28]
B. N. Khoromskij, O(d log N)-quantics approximation of N-d tensors in high-dimensional numerical modeling, Constructive Approximation 34, 257 (2011)
work page 2011
- [29]
-
[30]
B. N. Khoromskij, Tensor Numerical Methods in Scientific Com- puting, 1st ed., Radon Series on Computational and Applied Mathematics, V ol. 19 (De Gruyter, Berlin, Boston, 2018)
work page 2018
-
[31]
N. Gourianov, M. Lubasch, S. Dolgov, Q. Y . van den Berg, H. Babaee, P . Givi, M. Ki ffner, and D. Jaksch, A quantum in- spired approach to exploit turbulence structures, Nature Compu- tational Science 2, 30 (2022)
work page 2022
-
[32]
R. D. Peddinti, S. Pisoni, A. Marini, P . Lott, H. Argentieri, E. Tiunov, and L. Aolita, Quantum-inspired framework for computational fluid dynamics, Communications Physics 7, 10.1038/s42005-024-01623-8 (2024)
- [33]
-
[34]
L. H ¨olscher, P . Rao, L. M¨uller, J. Klepsch, A. Luckow, T. Stol- lenwerk, and F. K. Wilhelm, Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration, Phys. Rev. Res. 7, 013112 (2025)
work page 2025
-
[35]
N. Gourianov, P . Givi, D. Jaksch, and S. B. Pope, Tensor net- works enable the calculation of turbulence probability distribu- tions, Science Advances 11, eads5990 (2025)
work page 2025
- [36]
- [37]
-
[38]
Y . N. Fern´andez, M. K. Ritter, M. Jeannin, J.-W. Li, T. Kloss, T. Louvet, S. Terasaki, O. Parcollet, J. von Delft, H. Shinaoka, and X. Waintal, Learning tensor networks with tensor cross interpolation: New algorithms and libraries, SciPost Phys. 18, 104 (2025)
work page 2025
-
[39]
M. K. Ritter, Y . N´u˜nez Fern ´andez, M. Wallerberger, J. von Delft, 6 H. Shinaoka, and X. Waintal, Quantics tensor cross interpolation for high-resolution parsimonious representations of multivariate functions, Physical Review Letters 132 (2024)
work page 2024
-
[40]
H. Shinaoka, M. Wallerberger, Y . Murakami, K. Nogaki, R. Sakurai, P . Werner, and A. Kauch, Multiscale space-time ansatz for correlation functions of quantum systems based on quantics tensor trains, Physical Review X 13 (2023)
work page 2023
-
[41]
S. Rohshap, M. K. Ritter, H. Shinaoka, J. von Delft, M. Waller- berger, and A. Kauch, Two-particle calculations with quantics tensor trains: Solving the parquet equations, Phys. Rev. Res. 7, 023087 (2025)
work page 2025
-
[42]
H. Ishida, N. Okada, S. Hoshino, and H. Shinaoka, Low-rank quantics tensor train representations of Feynman diagrams for multiorbital electron-phonon model (2024), arXiv:2405.06440
- [43]
-
[44]
H. Takahashi, R. Sakurai, and H. Shinaoka, Compactness of quantics tensor train representations of local imaginary-time propagators, SciPost Phys. 18, 007 (2025)
work page 2025
-
[45]
A. Erpenbeck, W.-T. Lin, T. Blommel, L. Zhang, S. Iskakov, L. Bernheimer, Y . N ´u˜nez Fern ´andez, G. Cohen, O. Parcollet, X. Waintal, and E. Gull, Tensor train continuous time solver for quantum impurity models, Phys. Rev. B 107, 245135 (2023)
work page 2023
-
[46]
M. Eckstein, Solving quantum impurity models in the non-equilibrium steady state with tensor trains (2024), arXiv:2410.19707
-
[47]
M. ´Sroda, K. Inayoshi, H. Shinaoka, and P . Werner, High- resolution nonequilibrium gw calculations based on quantics tensor trains (2024), arXiv:2412.14032 [cond-mat.str-el]
-
[48]
M. Frankenbach, M. Ritter, M. Pelz, N. Ritz, J. von Delft, and A. Ge, Computing and compressing local vertex functions in imaginary and real frequencies from the multipoint numerical renormalization group using quantics tensor cross interpolation (2025), arXiv:2506.13359
-
[49]
S. Rohshap, J.-W. Li, A. Lorenz, S. Hasil, K. Held, A. Kauch, and M. Wallerberger, Entanglement across scales: Quantics tensor trains as a natural framework for renormalization (2025), arXiv:2507.19069
-
[50]
M. Wallerberger and K. Held, Trie-based ranking of quantum many-body states, Phys. Rev. Res. 4, 033238 (2022)
work page 2022
-
[51]
See Supplemental Material at [url] for details. [50] S. Nishimoto, K. Sano, and Y . Ohta, Phase diagram of the one- dimensional Hubbard model with next-nearest-neighbor hop- ping, Phys. Rev. B 77, 085119 (2008)
work page 2008
-
[52]
Haldane, Scaling theory of the asymmetric Anderson model, Physical Review Letters 40, 416 (1978)
F. Haldane, Scaling theory of the asymmetric Anderson model, Physical Review Letters 40, 416 (1978)
work page 1978
-
[53]
L. Wang, H. Shinaoka, and M. Troyer, Fidelity susceptibility perspective on the Kondo e ffect and impurity quantum phase transitions, Phys. Rev. Lett. 115, 236601 (2015)
work page 2015
-
[54]
J. Chen, E. Stoudenmire, and S. R. White, Quantum fourier transform has small entanglement, PRX Quantum 4, 040318 (2023)
work page 2023
-
[55]
L. Wang, Y .-H. Liu, J. Imriˇska, P . N. Ma, and M. Troyer, Fidelity susceptibility made simple: A unified quantum Monte Carlo approach, Phys. Rev. X 5, 031007 (2015)
work page 2015
-
[56]
P . Zanardi and N. Paunkovi´c, Ground state overlap and quantum phase transitions, Phys. Rev. E 74, 031123 (2006)
work page 2006
-
[57]
W.-L. Y ou, Y .-W. Li, and S.-J. Gu, Fidelity, dynamic structure factor, and susceptibility in critical phenomena, Phys. Rev. E 76, 022101 (2007)
work page 2007
-
[58]
P . Zanardi, P . Giorda, and M. Cozzini, Information-theoretic differential geometry of quantum phase transitions, Phys. Rev. Lett. 99, 100603 (2007)
work page 2007
-
[59]
L. Campos V enuti and P . Zanardi, Quantum critical scaling of the geometric tensors, Phys. Rev. Lett. 99, 095701 (2007)
work page 2007
-
[60]
T. Kashihara, Y . Michishita, and R. Peters, Quantum metric on the Brillouin zone in correlated electron systems and its relation to topology for Chern insulators, Phys. Rev. B 107, 125116 (2023)
work page 2023
- [61]
- [62]
-
[63]
W. H. Zurek, Information transfer in quantum measurements: Irreversibility and amplification, in Quantum Optics, Experimen- tal Gravity, and Measurement Theory , edited by P . Meystre and M. O. Scully (Springer US, Boston, MA, 1983) pp. 87–116
work page 1983
-
[64]
S. M. Barnett and S. J. D. Phoenix, Entropy as a measure of quantum optical correlation, Physical Review A 40, 2404 (1989), publisher: American Physical Society
work page 1989
-
[65]
T. Grover, Entanglement of interacting fermions in quantum Monte Carlo calculations, Physical Review Letters 111, 130402 (2013), publisher: American Physical Society
work page 2013
-
[66]
A. R ´enyi, On measures of entropy and information, in Pro- ceedings of the F ourth Berkeley Symposium on Mathematical Statistics and Probability, V olume 1: Contributions to the Theory of Statistics, V ol. 4.1 (University of California Press, 1961) pp. 547–562
work page 1961
-
[67]
A. Peres, Separability criterion for density matrices, Physical Review Letters 77, 1413 (1996), publisher: American Physical Society (APS)
work page 1996
-
[68]
M. Horodecki, P . Horodecki, and R. Horodecki, Separability of mixed states: necessary and su fficient conditions, Physics Letters A 223, 1 (1996), publisher: Elsevier BV
work page 1996
-
[69]
G. De Chiara and A. Sanpera, Genuine quantum correlations in quantum many-body systems: a review of recent progress, Reports on Progress in Physics 81, 074002 (2018)
work page 2018
-
[70]
Y .-D. Zheng and B. Zhou, Negativity and quantum phase tran- sition in a mixed spin-(12, 52, 12) Ising–Heisenberg branched chain, Physica A: Statistical Mechanics and its Applications 603, 127753 (2022)
work page 2022
-
[71]
P . Das and A. Sharma, Revisiting the phase transitions of the Dicke model, Phys. Rev. A 105, 033716 (2022). 7 End Matter Appendix A: QTTD and multi-point correlators. Let us consider an arbitrary n-point correlator function G(τ ) = −⟨TˆO1(τ1) ˆO2(τ2)... ˆOn(0)⟩with τ = (τ1, τ2, ..., τ n−1), τi ∈ [0, β) and fermionic or bosonic operators ˆOi. For τ1 > τ2 ...
work page 2022
-
[72]
0 𝜇 / U 0 .0 0.5 1.0 D m a x of G 1 1 11 ↑↑↑ ↑ , T = 1/30 ( b ) 60 80 100 120 FIG. 5. QTT bond dimension Dmax of different imaginary-time cor- relation functions for the Hubbard dimer as a function of electronic repulsion U and chemical potential µ/U: (a) Dmax for the one-particle Green’s function G↑↑ 11 at temperature T = β−1 = 1/ 50, and (b) for the two-...
work page 2025
-
[73]
0 0.5 1 .0 D m a x 15 0 20 0 25 0 U = 8 (c ) 𝜇 / U 0.0 0 .5 1 . 0 100 150 200 250 U = 1 0 (d) FIG. 2. Hubbard dimer: U slices of the Dmax of the QTT of G↑↑↑↑ 1111 (τ1, τ2, τ3) at ϵ= 10−20 at β= 50. The red dashed lines in- dicate a GS crossings (singlet - doublet), while the blue dashed line represents a crossing of the first excited state. The first excite...
-
[74]
In (a), the result is shown for the computation of the correlator with the entire eigenspectrum at ϵ= 10−14. Artifacts in the bond dimension emerge at the same QTT cuto ff due to “noise” (truncation of eigenspectrum) in (b). In (c) and (d) these artifacts can be removed by increasing the QTT cuto ff above the noise level to ϵ= 10−8 and ϵ= 10−5 showing stabl...
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[75]
0 100 125 150 175 U = 5 .0 (d) FIG
0 0.5 1 .0 D m a x 10 0 12 0 14 0 16 0 18 0 U = 4.0 (c ) 𝜇 / U 0.0 0 .5 1 . 0 100 125 150 175 U = 5 .0 (d) FIG. 6. Four-site Hubbard ring with nearest-neighbor hopping only: U slices of the Dmax of the QTT of G↑↑↑↑ 1111 (τ1, τ2, τ3) at ϵ= 10−14 at β= 50. The red dashed lines indicate a GS crossings. is shown in comparison to various entanglement measures ...
-
[76]
6 U 1 2 3 4 5 N n n ( c ) 0 . 3 0 . 4 0 . 5 0 . 6 N nnn ( d )
-
[77]
25 U 1 2 3 4 5 IR n n ( e ) 0 . 75 1 . 00 1 . 25 IR nn n ( f)
-
[78]
0 0 .5 1.0 U 1 2 3 4 5 I n n ( g ) 0
5 𝜇 / U 0 . 0 0 .5 1.0 U 1 2 3 4 5 I n n ( g ) 0 . 6 0 . 7 0 . 8 𝜇 / U 0.0 0. 5 1 .0 I nn n ( h )
-
[79]
8 FIG. 7. V arious entanglement measures in comparison to the Dmax of the QTT of G↑↑↑↑ 1111 (τ1, τ2, τ3) at ϵ= 10−14 at β= 50 for the four- site Hubbard ring with nearest neighbor hopping only. (b) presents the quantum Fisher information FQ, while (c), (e) and (g) show the nearest-neighbor negativity ( Nnn), Renyi mutual information ( IRnn) and mutual inf...
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[80]
Here, we are able to match the maximum in the bond dimension to jumps and rapid changes in entanglement due to phase transitions, as already seen and discussed in the previous sections. IV . SINGLE-IMPURITY ANDERSON MODEL A. Discretization and fitting of the bath The single-impurity Anderson model (SIAM) is coupled to a bath with a continuous energy spectr...
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