Pith. sign in

REVIEW 4 major objections 4 minor 66 references

Local reminiscence in the PXP model

T0 review · 4 major / 4 minor · reviewed 2026-08-04 · deepseek-v4-flash

Pith's one-line read This paper claims that two special states of the PXP model retain near-perfect local memory (single-site fidelities above 0.99) even as global dynamics stay complex and non-ergodic, decoupling local memory from global revival strength.

desk verdict A useful new local-memory diagnostic with one clean analytic result, but the thermodynamic-limit claim is not yet nailed down and the scar-overlap mechanism is contradicted by the paper's own Néel data. read the letter →

arxiv 2509.19944 v3 pith:GT53CIAU submitted 2025-09-24 quant-ph

classification quant-ph
keywords localreminiscencePXPmodelquantummany-bodyscarsfidelityRydbergatomarraysnon-ergodicdynamicsspectralmeasureconstrainedspinsystems
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

The paper studies whether a quantum many-body system can keep stable memory at the level of single sites while its global state evolves in a highly nontrivial way. It introduces the concept of local reminiscence, measured by the fidelity between the initial and time-evolved reduced density matrices of small subsystems. The central finding is that two initial states of the PXP model—the θ-symmetric superposition and the blockaded state—exhibit robust local reminiscence: as the system size grows, the time-averaged single-site fidelity rises toward above 0.99 and its standard deviation falls below 0.05. This happens even though the global fidelity and entanglement entropy show irregular, size-dependent, non-ergodic behavior. The authors connect this local memory to a large overlap of the initial state with the pure-point (discrete) part of the Hamiltonian spectrum, which includes the quantum many-body scar states.

What carries the argument

The central objects are the single-site local fidelities F_j(t) between the reduced density matrix of site j at time t and at time 0, their spatial average F_{1-site}(t), and the Césaro time average ⟨F_{1-site}⟩_t with standard deviation. These quantify the stability of local memory. The explanatory mechanism is the spectral measure induced by the initial state: via Wiener's theorem, the long-time averaged global fidelity is bounded below by the total weight on the pure-point spectrum, and the two locally reminiscent states have large overlap with the scarred eigenstates, which the paper identifies as belonging to the discrete part of the spectrum of the PXP Hamiltonian.

What would settle it

Compute the time-averaged single-site fidelity for the θ-symmetric state at L=22–30 (e.g., using tensor-network time evolution, since exact diagonalization is prohibitive); if ⟨F_{1-site}⟩_t drops appreciably below 0.99 or its standard deviation rises above 0.05 as L grows, the claimed thermodynamic-limit local reminiscence would fail.

Watch

Extended reading notes

Core claim

The paper's core claim is that the θ-symmetric state |Θ_symm+⟩ (at θ=π/4) and the blockaded state |φ_L⟩ generate dynamics in which the reduced density matrices of single sites remain close to their initial forms over long times. Quantitatively, the time-averaged single-site fidelity ⟨F_{1-site}⟩_t approaches values above 0.99 and its standard deviation falls below 0.05 as L increases (see Figs. 4(f,g) and 5(g,h)), while the long-time averaged maximum trace-distance bound (D̄^max_{1-site})_{t=100} is about 0.065 and 0.095, respectively. Meanwhile the global fidelity and entanglement entropy exhibit non-ergodic, oscillatory, volume-law-scaling behavior that does not settle to a simple revival

Load-bearing premise

The claim rests on the observed monotone finite-size trends at L up to 20—that the time-averaged single-site fidelity keeps rising toward 0.99 and its fluctuations keep falling below 0.05—being representative of the thermodynamic limit, since no analytic bound or extrapolation procedure is provided and the pure-point spectral weight could in principle melt into the continuum at larger L.

Editorial extensions

If this is right

  • Local fidelity becomes a diagnostic that can reveal memory retention even when global fidelity and entanglement entropy suggest complex, non-thermal dynamics.
  • The previously identified quantum many-body scar states are part of the pure-point spectrum of the PXP Hamiltonian, supporting their role in non-ergodic dynamics.
  • Initial states with larger overlap with scar states—such as the θ-symmetric and blockaded states—show stronger and more stable local reminiscence than the Néel state.
  • In the simulated sizes, local reminiscence is enhanced, not destroyed, as the system size increases, with time-averaged fidelity growing and fluctuations shrinking.
  • Local reminiscence is most pronounced for single-site subsystems and fades as the block size grows, indicating it is a genuinely local phenomenon.

Reading between the lines

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

  • A natural testable extension is to scan other constrained models (deformed PXP, Fibonacci anyon chains) using the local-reminiscence criterion; any state with sufficiently large pure-point spectral weight should show the effect even if global fidelity revivals are weak.
  • Because local memory persists while entanglement grows volume-law, the preserved information may live in local coherences rather than local populations—a direct experimental probe would be measuring single-site transverse magnetization (X or Y) alongside populations.
  • The connection to non-Markovianity, mentioned in the paper as related, could be sharpened: local reminiscence is essentially the fidelity-side signature of non-Markovian local dynamics, and the same Césaro-averaged quantities could quantify both.
  • If the pure-point overlap is the causal mechanism, then engineering superpositions with controlled overlap onto scar states should allow one to tune local reminiscence on and off, which could be verified in Rydberg-array experiments.
Share X Bluesky LinkedIn Reddit HN

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. The paper introduces the concept of "local reminiscence" — the temporal stability of reduced density matrices of small subsystems — and studies it in the PXP model. Three families of initial states are examined: the product state |Θ+⟩, its spatially symmetrized version |Θ_symm+⟩, and the equal-weight blockaded state |φ_L⟩. The central numerical claim is that, for |Θ_symm+⟩ at θ=π/4 and for |φ_L⟩, the time-averaged single-site fidelity ⟨F_{1-site}⟩_t approaches values above 0.99 while its standard deviation falls below 0.05 as L grows (Figs. 4(f,g) and 5(g,h)), even though the global dynamics remain complex and non-ergodic. Analytic results include the normalization of |Θ_symm+⟩, a closed-form expression for the single-site reduced density matrix of |φ_L⟩ based on Fibonacci numbers, and a golden-ratio limit for the initial magnetization. The paper proposes a spectral interpretation via Wiener's theorem, arguing that local reminiscence is linked to a large component of the initial state on the pure-point spectrum.

Significance. If established, the finding that local memory can persist even when global fidelity is irregular and entanglement entropy grows would be a useful conceptual addition to the quantum many-body scars literature. The analytic derivations for |φ_L⟩ (Eqs. (13)-(15), Appendix B) are explicit, internally consistent, and correct: the trace identity F_{j+1}F_{L-j+2}+F_jF_{L-j+1}=F_{L+2} indeed yields a normalized reduced density matrix, and the golden-ratio limit Z_1(0)≈1/φ^2−1/φ checks out. The paper has no fitted parameters in the central numerical observation; the PXP Hamiltonian is fixed and the initial states are prescribed. However, the asymptotic claim and the proposed spectral mechanism are not yet demonstrated at the level required by the paper's conclusions.

major comments (4)
  1. [§IV, Figs. 4(f,g); §V, Figs. 5(g,h); §VII] The central claim that local reminiscence becomes robust as L grows — ⟨F_{1-site}⟩_t above 0.99 and σ below 0.05 — is based on exact diagonalization for L≤20 and Cesàro averages at t=100. The constrained Hilbert-space dimension grows as F_{L+2}; for L=20 this is ≈17711, so t=100 may be much shorter than the time needed for the Cesàro average to approach its infinite-time limit. No extrapolation procedure, convergence check, or analytic bound on the local fidelity is provided. The monotone trend in Figs. 4(f,g) and 5(g,h) could reverse for L>20. Please add a finite-size scaling analysis (e.g., tensor-network calculations for larger L), an error estimate for the t=100 averages, or at minimum a precise statement of the assumed asymptotic behavior.
  2. [§VI, Eq. (19); §III.1] The spectral mechanism in Sec. VI connects local reminiscence to the pure-point part of the spectral measure via Wiener's theorem. However, Wiener's theorem controls the Cesàro average of the global fidelity |ν(t)|², not the single-site local fidelity F_{1-site}(t). Persistence of reduced density matrices does not follow from the pure-point weight of the global survival amplitude. Moreover, the paper's own data undercut the scar-overlap mechanism: the Néel state |Z2⟩ has the largest scar overlap among the states studied, yet (D^max_{1-site})_{t=100}≈0.681, far above the values 0.065 and 0.095 reported for the reminiscent states. High scar overlap is therefore not sufficient. The concluding assertion that 'having a large overlap with the scarred eigenstates results in a good local reminiscence' is not supported.
  3. [§II.2, Eq. (8)] The standard deviation in Eq. (8) is defined with ⟨F_{1-site}⟩_{t'} inside the integrand, i.e., with a running mean that depends on the upper limit of the inner average. This does not measure fluctuations around the long-time average of the signal; for a non-stationary signal it mixes the drift of the running mean with the actual fluctuations. The quantity should be defined with ⟨F_{1-site}⟩_t (the average up to the same final time t) subtracted. Since Figs. 4(g) and 5(h) are central to the 'suppressed fluctuations' claim, the reported values should be recomputed with the corrected definition.
  4. [§VII, Conclusions] The final paragraph contains an incomplete and overreaching statement: 'Although the connection between the overlap with the scarred eigenstates and the local reminiscence, we can certainly say that having a large overlap with the scarred eigenstates results in a good local reminiscence of the system.' This both acknowledges that the connection is not established and then asserts it. Given the |Z2⟩ counterexample and the Wiener-theorem mismatch discussed above, the assertion should be removed or substantially qualified.
minor comments (4)
  1. [§VI] The text refers to Eq. (19) as an 'upper bound' when the displayed inequality is a lower bound (≥). Please correct the terminology for consistency with the equation and the surrounding discussion.
  2. [Appendix B, Eq. (B4)] The coefficient of |1,0,φ_{L-2}⟩ appears to be sqrt(F_{L+1}/F_{L+2}) in Eq. (B4), but from Eq. (13) and the Fibonacci counting it should be sqrt(F_L/F_{L+2}). Please check and correct.
  3. [Throughout] Minor typographical issues: 'Lesbegue' should be 'Lebesgue' (Sec. VI); 'ad eventually' should be 'and eventually' (Sec. VI); 'We first analyze the the overlap' (Sec. V); inconsistent accent usage for 'Néel'.
  4. [General] No data or code availability statement is provided. For reproducibility of the exact-diagonalization results, consider adding such a statement or depositing the numerical data.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the central local-reminiscence results are direct exact-diagonalization evolutions of the fixed PXP Hamiltonian with no fitted parameters; the spectral discussion uses external measure-theoretic theorems.

full rationale

The main numerical claims are self-contained: the PXP Hamiltonian in Eq. (1) is fixed; the initial states |Θ_symm+⟩ and |φ_L⟩ are defined analytically in Eqs. (11) and (12); and the reported fidelities are computed directly from the Uhlmann fidelity definition Eq. (5) without fitting parameters to the target quantities. The blockaded-state reduced density matrix Eq. (14) follows from Eq. (12) by the Fibonacci recursion derived in Appendix B, not by assumption. The spectral interpretation uses external results (Riemann-Lebesgue lemma and Wiener theorem); Eq. (19) is a rigorous lower bound in terms of scar overlaps, and the identification of scar states is cited to external work. The only self-citations ([39], [51], [52]) are contextual or methodological and are not load-bearing. There are legitimate non-circularity caveats: the thermodynamic-limit claim is inferred from L≤20 and t=100 without extrapolation control, and the concluding statement that 'having a large overlap with the scarred eigenstates results in a good local reminiscence' is not supported by the paper's own |Z2⟩ data (D_max ≈ 0.681 versus 0.065/0.095 for the reminiscent states). These are robustness and interpretation concerns, not definitional or self-citational circularity. Therefore the derivation chain is not circular.

Assumptions & free parameters 1 free parameters · 4 assumptions · 1 invented entities

The central claim (local reminiscence for the theta-symmetric and blockaded states) rests on: the validity of the PXP Hamiltonian as the effective Rydberg model (Appendix A), the standard spectral-measure framework applied to finite-size data as a proxy for the thermodynamic limit (Sec. VI), and the textbook scar identification of Ref. [25]. One tunable knob, theta, parameterizes the probe states and is scanned, not fitted. The only coined object is the diagnostic term 'local reminiscence', an operational quantity rather than a new physical entity. No data were fit to produce the central observation.

free parameters (1)
  • theta (mixing angle of the |Theta+> and |Theta_symm+> state families) = pi/4 for the main results; scanned over [0, pi/2]
    Continuous parameter defining the probe states. The intermediate value theta=pi/4 is used for the detailed local reminiscence analysis in Secs. IV and V, chosen as the center of the ergodic-to-scarred crossover, not fitted to data. It is a free knob of the initial state, not a fitted constant.
assumptions (4)
  • domain assumption The PXP Hamiltonian (Eq. (1)) is the correct effective description of the Rydberg array in the strong-blockade limit C6/a^6 >> Omega, |Delta|, with the dynamics projected onto the no-adjacent-excitation subspace.
    Appendix A derives the model from the full Rydberg Hamiltonian; the paper states the energy-scale hierarchy and never violates it. Standard in the scar literature (Refs. 11-16), assumed throughout.
  • domain assumption The spectral measure induced by the initial state at finite L is a faithful proxy for the thermodynamic-limit Lebesgue decomposition into absolutely continuous, singular continuous, and pure point parts, so the Riemann-Lebesgue lemma and Wiener theorem applied to L=20 data justify conclusions about
    Sec. VI, Eqs. (16)-(19) and Fig. 6. The decomposition into ac/sc/pp is only defined in the thermodynamic limit; the paper asserts, without proof or extrapolation analysis, that the finite-size data are representative.
  • domain assumption The scarred eigenstates are correctly identified by the two criteria of Ref. [25]: minimum entanglement entropy and maximum overlap with |Z2> among states in approximately equally spaced energy bands.
    Sec. VI, 'We try now to identify the states...'. The scar identification is borrowed from Choi et al.; the paper's spectral conclusion (Eq. (19) lower bound) depends on these states being the dominant pure-point states.
  • standard math Standard Fibonacci identities, including F_{n+1}F_{m+1}+F_nF_m=F_{n+m+1} used for the trace of Eq. (14), and the large-L asymptotics F_L about phi^{L+1}/sqrt(5).
    Appendix B, Eqs. (B1)-(B12). Pure combinatorics of the blockaded Hilbert space; no physics input.
invented entities (1)
  • Local reminiscence (operational concept)
    purpose: Diagnostic concept for the stability of single-site (or small-block) reduced density matrices during global evolution; the paper's central lens for classifying non-ergodic dynamics.
    Defined in Sec. II.2 via Eqs. (5)-(8). It is a measurement protocol, not a new physical object, and has no falsifiable handle beyond the quantities it measures. Included because the paper coins and names the phenomenon.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Local reminiscence in the PXP model." pith.science (2026). https://pith.science/paper/GT53CIAU

@misc{pith2026250919944,
  author       = {Pith},
  title        = {Pith review of: Local reminiscence in the PXP model},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/GT53CIAU}},
  note         = {Machine review of arXiv:2509.19944}
}
abstract

We study the emergence of local reminiscence in the PXP model, a constrained spin system realized in Rydberg atom arrays. The spectrum of this model is characterized by a majority of eigenstates that satisfy the eigenstate thermalization hypothesis, alongside a set of nonthermal eigenstates, known as quantum many-body scars, that violate it. While generic initial states lead to thermalization consistent with eigenstate thermalization hypothesis, special configurations generate non-ergodic dynamics and preserve memory of the initial state. In this work, we explore local memory retention using local fidelity and the dynamics of local observables. We find that two specific states, $\theta$-symmetric and blockaded states, exhibit robust local reminiscence, with fidelities near unity and suppressed fluctuations as the system size increases. Our results show that non-ergodic regimes can sustain stable local memory while still allowing for complex global dynamics, providing new insights into quantum many-body scars and constrained dynamics.

Figures

Figures reproduced from arXiv: 2509.19944 by the authors.

Figure 1
Figure 1. Sketch of a local reminiscent dynamics: a sys [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Global properties of the dynamics of the [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Local properties of the dynamics of the |Θ+⟩ state. Panel (a) and (b): dynamics of the single-site local fidelity averaged over the whole chain for L = 20 and different θ (a), θ = π/4 and different L(b). Panel (c): product of the all the single-site local fidelities for different values of L and θ = π/4. Panel (d): local fidelity evaluated on blocks S = [1, ℓ] of different size with fixed θ = π/4 and L = 20. Panel (… view at source ↗
Figures from the paper (3 more)
Figure 4
Figure 4. Figure 4: Characterization of the θ-symmetric state |Θ symm + ⟩ through its global and local features. Panels (a), (b) and (c) show the global features of the state, including the overlap with the eigenstates of the Hamiltonian for L = 20 and θ = π/4 (the states with larger over…
Figure 5
Figure 5. Figure 5: Characterization of the blockaded state |φL⟩. Pan￾els (a),(b),(c) and (d) report the global features of the states: overlap with the eigenstates with fixed L = 20 (a), the state with larger overlap is the highest excited state |Enmax ⟩ and it is highlighted in red; in …
Figure 6
Figure 6. Figure 6: Fidelity at long times. In panel (a) the fidelity [PITH_FULL_IMAGE:figures/full_fig_p010_6.png]

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

66 extracted references · 2 canonical work pages

  1. [1]

    blockaded

    Ergodic vs scarred dynamics The dynamics of the system is constrained to a sub- space in which two or more nearest-neighbor excitations are prohibited, a condition referred to as a “blockaded”. Quantitatively, the Hamiltonian commutes with the op- eratorP= Q j(1−n jnj+1) [43], which acts as the iden- tity on states within the blockaded subspace (i.e., sta...

  2. [2]

    To this end, we exam- ine the relations between the reduced density matrices on specific subsystemsSof the chain

    Local reminiscence In this paper, we focus on exploring the local proper- ties of the system’s dynamics and how they depend on the choice of the initial state. To this end, we exam- ine the relations between the reduced density matrices on specific subsystemsSof the chain. In particular, we are interested in comparing the reduced density matrix of the ini...

  3. [3]

    We investigate local memory behavior in the crossover from ergodic (θ= 0) to scarred (θ=π/2) dynamics

    Local features of the dynamics We are now interested in understanding the behavior of this state at the local level by using the local fidelity FS (t) between the initial and the time-evolved reduced density matrices, searching forlocal reminiscence. We investigate local memory behavior in the crossover from ergodic (θ= 0) to scarred (θ=π/2) dynamics. As ...

  4. [4]

    J. M. Deutsch, Eigenstate thermalization hypothesis, Re- ports on Progress in Physics81, 082001 (2018)

  5. [5]

    If either neighbor is|1⟩, the projector kills the am- plitude and the flip does not occur

  6. [6]

    The second term provides a chemical potential for Ryd- berg excitations, effectively controlling the energy cost of creating excitations

    Only when both neighbors are|0⟩doesX j act nor- mally. The second term provides a chemical potential for Ryd- berg excitations, effectively controlling the energy cost of creating excitations. 13 Appendix B: Fibonacci structure of the blockaded state The blockaded state on a chain composed ofLsites is defined as |φL⟩= 1p FL+2 X |s⟩∈BL |s⟩,(B1) whereF L+2 ...

  7. [7]

    Rigol, V

    M. Rigol, V. Dunjko, and M. Olshanii, Thermalization and its mechanism for generic isolated quantum systems, Nature452, 854–858 (2008)

  8. [8]

    Srednicki, Chaos and quantum thermalization, Phys

    M. Srednicki, Chaos and quantum thermalization, Phys. Rev. E50, 888 (1994)

Show all 66 references
  1. [9]

    J. M. Deutsch, Quantum statistical mechanics in a closed 14 system, Phys. Rev. A43, 2046 (1991)

  2. [10]

    Bernien, S

    H. Bernien, S. Schwartz, A. Keesling, H. Levine, A. Om- ran, H. Pichler, S. Choi, A. S. Zibrov, M. Endres, M. Greiner, V. Vuleti´ c, and M. D. Lukin, Probing many- body dynamics on a 51-atom quantum simulator, Nature 551, 579–584 (2017)

  3. [11]

    Alba, Eigenstate thermalization hypothesis and in- tegrability in quantum spin chains, Phys

    V. Alba, Eigenstate thermalization hypothesis and in- tegrability in quantum spin chains, Phys. Rev. B91, 155123 (2015)

  4. [12]

    T. Mori, T. N. Ikeda, E. Kaminishi, and M. Ueda, Thermalization and prethermalization in isolated quan- tum systems: a theoretical overview, Journal of Physics B: Atomic, Molecular and Optical Physics51, 112001 (2018)

  5. [13]

    Singh, J

    R. Singh, J. H. Bardarson, and F. Pollmann, Signatures of the many-body localization transition in the dynamics of entanglement and bipartite fluctuations, New Journal of Physics18, 023046 (2016)

  6. [14]

    Calabrese and J

    P. Calabrese and J. Cardy, Evolution of entanglement entropy in one-dimensional systems, Journal of Statisti- cal Mechanics: Theory and Experiment2005, P04010 (2005)

  7. [15]

    Nandkishore and D

    R. Nandkishore and D. A. Huse, Many-body localization and thermalization in quantum statistical mechanics, Annual Review of Condensed Matter Physics6, 15–38 (2015)

  8. [16]

    Liang, Z

    X. Liang, Z. Yue, Y.-X. Chao, Z.-X. Hua, Y. Lin, M. K. Tey, and L. You, Observation of anomalous information scrambling in a rydberg atom array, Phys. Rev. Lett. 135, 050201 (2025)

  9. [17]

    C. J. Turner, A. A. Michailidis, D. A. Abanin, M. Serbyn, and Z. Papi´ c, Quantum scarred eigenstates in a rydberg atom chain: Entanglement, breakdown of thermalization, and stability to perturbations, Phys. Rev. B98, 155134 (2018)

  10. [18]

    Lesanovsky and H

    I. Lesanovsky and H. Katsura, Interacting fibonacci anyons in a rydberg gas, Phys. Rev. A86, 041601 (2012)

  11. [19]

    W. W. Ho, S. Choi, H. Pichler, and M. D. Lukin, Pe- riodic orbits, entanglement, and quantum many-body scars in constrained models: Matrix product state ap- proach, Phys. Rev. Lett.122, 040603 (2019)

  12. [20]

    Quantum coast to coast

    The dynamics is characterized by oscillations fol- lowed by relaxation phases of small amplitude, signif- icantly weaker than those observed in non-reminiscent cases such as|Θ +(π/4)⟩. Using Eq. 14 and the definition Zj =|1⟩ j ⟨1| − |0⟩j ⟨0|, the initial magnetization can be c...

  13. [21]

    Serbyn, D

    M. Serbyn, D. A. Abanin, and Z. Papi´ c, Quantum many- body scars and weak breaking of ergodicity, Nature Physics17, 675–685 (2021)

  14. [22]

    Hudomal, J.-Y

    A. Hudomal, J.-Y. Desaules, B. Mukherjee, G.-X. Su, J. C. Halimeh, and Z. Papi´ c, Driving quantum many- body scars in the pxp model, Phys. Rev. B106, 104302 (2022)

  15. [23]

    F. M. Surace, M. Votto, E. G. Lazo, A. Silva, M. Dal- monte, and G. Giudici, Exact many-body scars and their stability in constrained quantum chains, Phys. Rev. B 103, 104302 (2021)

  16. [24]

    H. K. Park and S. Lee, Nonintegrability in the pxp model: A graph-theoretical approach, Phys. Rev. B111, 085104 (2025)

  17. [25]

    Browaeys and T

    A. Browaeys and T. Lahaye, Many-body physics with in- dividually controlled rydberg atoms, Nature Physics16, 132–142 (2020)

  18. [26]

    X. Wu, X. Liang, Y. Tian, F. Yang, C. Chen, Y.-C. Liu, M. K. Tey, and L. You, A concise review of rydberg atom based quantum computation and quantum simulation, Chinese Physics B30, 020305 (2021)

  19. [27]

    C. S. Adams, J. D. Pritchard, and J. P. Shaffer, Ry- dberg atom quantum technologies, Journal of Physics B: Atomic, Molecular and Optical Physics53, 012002 (2019)

  20. [28]

    Saffman, T

    M. Saffman, T. G. Walker, and K. Mølmer, Quantum information with rydberg atoms, Rev. Mod. Phys.82, 2313 (2010)

  21. [29]

    Morgado and S

    M. Morgado and S. Whitlock, Quantum simulation and computing with rydberg-interacting qubits, A VS Quan- tum Science3, 10.1116/5.0036562 (2021)

  22. [30]

    Chandran, T

    A. Chandran, T. Iadecola, V. Khemani, and R. Moess- ner, Quantum many-body scars: A quasiparticle perspec- tive, Annual Review of Condensed Matter Physics14, 443–469 (2023)

  23. [31]

    S. Choi, C. J. Turner, H. Pichler, W. W. Ho, A. A. Michailidis, Z. Papi´ c, M. Serbyn, M. D. Lukin, and D. A. Abanin, Emergent su(2) dynamics and perfect quantum many-body scars, Phys. Rev. Lett.122, 220603 (2019)

  24. [32]

    Lerose, T

    A. Lerose, T. Parolini, R. Fazio, D. A. Abanin, and S. Pappalardi, Theory of robust quantum many-body scars in long-range interacting systems, Phys. Rev. X15, 011020 (2025)

  25. [33]

    Desaules, F

    J.-Y. Desaules, F. Pietracaprina, Z. Papi´ c, J. Goold, and S. Pappalardi, Extensive multipartite entanglement from su(2) quantum many-body scars, Phys. Rev. Lett.129, 020601 (2022)

  26. [34]

    Kerschbaumer, M

    A. Kerschbaumer, M. Ljubotina, M. Serbyn, and J.-Y. Desaules, Quantum many-body scars beyond the pxp model in rydberg simulators, Phys. Rev. Lett.134, 160401 (2025)

  27. [35]

    Daniel, A

    A. Daniel, A. Hallam, J.-Y. Desaules, A. Hudomal, G.- X. Su, J. C. Halimeh, and Z. Papi´ c, Bridging quantum criticality via many-body scarring, Phys. Rev. B107, 235108 (2023)

  28. [36]

    Pizzi, L.-H

    A. Pizzi, L.-H. Kwan, B. Evrard, C. B. Dag, and J. Knolle, Genuine quantum scars in many-body spin sys- tems, Nature Communications16, 10.1038/s41467-025- 61765-3 (2025)

  29. [37]

    Banerjee, Non-markovianity of subsystem dynamics in isolated quantum many-body systems, Phys

    A. Banerjee, Non-markovianity of subsystem dynamics in isolated quantum many-body systems, Phys. Rev. B 112, 014302 (2025)

  30. [38]

    Banerjee, Quantum scarring enhances non- markovianity of subsystem dynamics (2025), arXiv:2507.23757 [quant-ph]

    A. Banerjee, Quantum scarring enhances non- markovianity of subsystem dynamics (2025), arXiv:2507.23757 [quant-ph]

  31. [39]

    Balewski, M

    J. Balewski, M. Kornjaˇ ca, K. Klymko, S. Darbha, M. R. Hirsbrunner, P. L. S. Lopes, F. Liu, and D. Camps, En- gineering quantum states with neutral atoms, in2024 IEEE International Conference on Quantum Computing and Engineering (QCE)(IEEE, 2024) p. 1221–1227

  32. [40]

    Semeghini, H

    G. Semeghini, H. Levine, A. Keesling, S. Ebadi, T. T. Wang, D. Bluvstein, R. Verresen, H. Pichler, M. Kali- nowski, R. Samajdar, A. Omran, S. Sachdev, A. Vish- wanath, M. Greiner, V. Vuleti´ c, and M. D. Lukin, Prob- ing topological spin liquids on a programmable quantum simul...

  33. [41]

    Bornet, G

    G. Bornet, G. Emperauger, C. Chen, F. Machado, S. Chern, L. Leclerc, B. G´ ely, Y. T. Chew, D. Barredo, T. Lahaye, N. Y. Yao, and A. Browaeys, Enhancing a many-body dipolar rydberg tweezer array with arbitrary local controls, Phys. Rev. Lett.132, 263601 (2024)

  34. [42]

    T. Haug, R. Dumke, L.-C. Kwek, C. Miniatura, and L. Amico, Machine-learning engineering of quantum cur- rents, Phys. Rev. Res.3, 013034 (2021)

  35. [43]

    E. S. Carrera, H. Erbin, and G. Misguich, Preparing spin- 15 squeezed states in rydberg atom arrays via quantum op- timal control (2025), arXiv:2507.07875 [quant-ph]

  36. [44]

    Briongos-Merino, F

    H. Briongos-Merino, F. Isaule, B. Juli´ a-D ´ ıaz, and M. Guilleumas, Dipolar optimal control of quantum states (2025), arXiv:2507.22822 [cond-mat.quant-gas]

  37. [45]

    Perciavalle, D

    F. Perciavalle, D. Rossini, J. Polo, O. Morsch, and L. Am- ico, Quantum superpositions of current states in rydberg- atom networks, Phys. Rev. Res.6, 043025 (2024)

  38. [46]

    M. Lutz, L. Piroli, G. Styliaris, and J. I. Cirac, Adiabatic quantum state preparation in integrable models (2025), arXiv:2503.21741 [quant-ph]

  39. [47]

    Lesanovsky, Many-body spin interactions and the ground state of a dense rydberg lattice gas, Phys

    I. Lesanovsky, Many-body spin interactions and the ground state of a dense rydberg lattice gas, Phys. Rev. Lett.106, 025301 (2011)

  40. [48]

    Lesanovsky, Liquid ground state, gap, and excited states of a strongly correlated spin chain, Phys

    I. Lesanovsky, Liquid ground state, gap, and excited states of a strongly correlated spin chain, Phys. Rev. Lett. 108, 105301 (2012)

  41. [49]

    Omiya and M

    K. Omiya and M. M¨ uller, Fractionalization paves the way to local projector embeddings of quantum many-body scars, Phys. Rev. B108, 054412 (2023)

  42. [50]

    D’Alessio, Y

    L. D’Alessio, Y. Kafri, A. Polkovnikov, and M. Rigol, From quantum chaos and eigenstate thermalization to statistical mechanics and thermodynamics, Advances in Physics65, 239–362 (2016)

  43. [51]

    Amico, R

    L. Amico, R. Fazio, A. Osterloh, and V. Vedral, Entan- glement in many-body systems, Rev. Mod. Phys.80, 517 (2008)

  44. [52]

    Horodecki, P

    R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, Quantum entanglement, Rev. Mod. Phys. 81, 865 (2009)

  45. [53]

    D. M. Greenberger, M. A. Horne, and A. Zeilinger, Going beyond bell’s theorem, inBell’s Theorem, Quantum The- ory and Conceptions of the Universe(Springer Nether- lands, 1989) p. 69–72

  46. [54]

    M. A. Nielsen and I. L. Chuang,Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, 2012)

  47. [55]

    Uhlmann, The ”transition probability” in the state space of a *-algebra, Reports on Mathematical Physics 9, 273 (1976)

    A. Uhlmann, The ”transition probability” in the state space of a *-algebra, Reports on Mathematical Physics 9, 273 (1976)

  48. [56]

    Papi´ c, Weak ergodicity breaking through the lens of quantum entanglement, inEntanglement in Spin Chains (Springer International Publishing, 2022) p

    Z. Papi´ c, Weak ergodicity breaking through the lens of quantum entanglement, inEntanglement in Spin Chains (Springer International Publishing, 2022) p. 341–395

  49. [57]

    Lo Gullo, C

    N. Lo Gullo, C. V. Ambarish, T. Busch, L. Dell’Anna, and C. M. Chandrashekar, Dynamics and energy spec- tra of aperiodic discrete-time quantum walks, Physical Review E96, 10.1103/physreve.96.012111 (2017)

  50. [58]

    Settino, N

    J. Settino, N. W. Talarico, F. Cosco, F. Plastina, S. Man- iscalco, and N. Lo Gullo, Emergence of anomalous dy- namics from the underlying singular continuous spectrum in interacting many-body systems, Physical Review B 101, 10.1103/physrevb.101.144303 (2020)

  51. [59]

    Milek and P

    B. Milek and P. Seba, Singular continuous quasienergy spectrum in the kicked rotator with separable perturba- tion: Possibility of the onset of quantum chaos, Physical Review A42, 3213–3220 (1990)

  52. [60]

    Last, Quantum dynamics and decompositions of sin- gular continuous spectra, Journal of Functional Analysis 142, 406–445 (1996)

    Y. Last, Quantum dynamics and decompositions of sin- gular continuous spectra, Journal of Functional Analysis 142, 406–445 (1996)

  53. [61]

    Alet and N

    F. Alet and N. Laflorencie, Many-body localization: An introduction and selected topics, Comptes Rendus. Physique19, 498–525 (2018)

  54. [62]

    Pal and D

    A. Pal and D. A. Huse, Many-body localization phase transition, Phys. Rev. B82, 174411 (2010)

  55. [63]

    D. A. Abanin, E. Altman, I. Bloch, and M. Serbyn, Col- loquium: Many-body localization, thermalization, and entanglement, Rev. Mod. Phys.91, 021001 (2019)

  56. [64]

    Sierant, M

    P. Sierant, M. Lewenstein, A. Scardicchio, L. Vidmar, and J. Zakrzewski, Many-body localization in the age of classical computing*, Reports on Progress in Physics88, 026502 (2025)

  57. [65]

    C. Yin, F. M. Surace, and A. Lucas, Theory of metastable states in many-body quantum systems, Phys. Rev. X15, 011064 (2025)

  58. [66]

    Henriet, L

    L. Henriet, L. Beguin, A. Signoles, T. Lahaye, A. Browaeys, G.-O. Reymond, and C. Jurczak, Quantum computing with neutral atoms, Quantum4, 327 (2020)

Pith tools

Reviewed August 4, 2026 · model on record in the stance chip above.