pith. machine review for the scientific record. sign in

arxiv: 2604.02417 · v1 · submitted 2026-04-02 · 🪐 quant-ph · cond-mat.stat-mech· hep-th· math-ph· math.MP· nlin.CD

Recognition: 2 theorem links

· Lean Theorem

Provable quantum thermalization without statistical averages

Authors on Pith no claims yet

Pith reviewed 2026-05-13 21:07 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.stat-mechhep-thmath-phmath.MPnlin.CD
keywords quantum thermalizationout-of-time-ordered correlatorspure statesmany-body systemsHilbert space geometryfinite-time dynamicssubspace alignment
0
0 comments X

The pith

Saturation of controllably nonlocal out-of-time-ordered correlators proves thermalization for almost all accessible pure states at finite times.

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

The paper develops a rigorous, system-agnostic method that predicts when a typical pure state in a many-body system will thermalize, using only the saturation behavior of a few out-of-time-ordered correlators of local observables. This approach avoids any need for time or ensemble averages and does not require knowing the structure of energy eigenstates or waiting for thermodynamically long times. A geometric fact about the alignment of high-dimensional subspaces in Hilbert space supplies the link: when the relevant correlators saturate, the time-evolved subspace of the state aligns with the thermal subspace, forcing observable expectation values to match thermal predictions for almost every initial pure state.

Core claim

Thermalization of an individual pure state at finite times is equivalent to the saturation of controllably nonlocal out-of-time-ordered correlators; this saturation guarantees that the high-dimensional subspace spanned by the time-evolved state aligns with the thermal subspace inside the full Hilbert space, so that few-body observables equilibrate without statistical averaging.

What carries the argument

A geometric alignment condition on high-dimensional subspaces of Hilbert space, whose occurrence is certified by saturation of controllably nonlocal out-of-time-ordered correlators of few-body observables.

If this is right

  • Thermalization becomes verifiable from measurements of only a handful of few-body operators rather than full state tomography.
  • The result holds for an overwhelming fraction of accessible pure states without invoking ergodicity or mixing averages.
  • Finite-time predictions remain valid even when the system is too large for direct diagonalization or long-time evolution.
  • The method applies uniformly across different many-body platforms because it never requires model-specific eigenstate details.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Experimental platforms could test the prediction by preparing random product states and measuring a small set of out-of-time-ordered correlators instead of waiting for equilibration.
  • The subspace-alignment picture may extend to other late-time phenomena such as operator growth or information scrambling that are also diagnosed by out-of-time-ordered correlators.
  • Numerical studies on moderate-size systems could directly check whether the controllably nonlocal correlators saturate before or after standard local observables equilibrate.

Load-bearing premise

That saturation of the chosen controllably nonlocal out-of-time-ordered correlators is both necessary and sufficient to guarantee the required subspace alignment for the given Hamiltonian dynamics.

What would settle it

A concrete many-body Hamiltonian and initial pure state in which the relevant out-of-time-ordered correlators saturate yet a few-body observable fails to equilibrate to its thermal value, or the reverse.

read the original abstract

We develop a rigorous system-agnostic method to predict quantum thermalization in an overwhelming fraction of accessible pure states in a many-body system, entirely in terms of certain out-of-time-ordered correlators of few-body observables. In contrast to previous rigorous results on thermalization with semiclassical counterparts, our method is not limited to statistical averages of observables, such as time averages in ergodicity or state averages in mixing. Moreover, consistent with such approaches, we retain the advantage of not requiring a detailed knowledge of energy eigenstate structure or thermodynamically large times, which can become intractable for systems with more than a handful of particles. Our approach is centered on a geometric result that connects thermalization to the alignment of high dimensional subspaces in a Hilbert space, which is determined by the saturation of "controllably nonlocal" out-of-time-ordered correlators. This formalism reduces the problem of establishing pure state quantum thermalization at finite times in almost all complex many-body states to a theoretically or experimentally accessible study of few-body correlators, even in thermodynamically large systems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript claims to develop a rigorous system-agnostic geometric method that predicts quantum thermalization for an overwhelming fraction of accessible pure states in many-body systems, expressed entirely in terms of the saturation of controllably nonlocal out-of-time-ordered correlators (OTOCs) of few-body observables. The approach centers on a geometric result linking thermalization to the alignment of high-dimensional subspaces in Hilbert space, avoiding statistical averages (time or state), detailed eigenstate structure, and thermodynamically large times.

Significance. If the geometric mapping is rigorously derived, the result would be significant: it supplies a concrete, few-body observable criterion for pure-state thermalization at finite times that applies to almost all accessible states without ensemble averaging or semiclassical limits. This directly addresses a longstanding gap between rigorous thermalization theorems and experimentally accessible quantities in complex many-body systems.

major comments (2)
  1. [§3] §3 (Geometric result on subspace alignment): The central claim that saturation of controllably nonlocal OTOCs is equivalent to the required high-dimensional subspace alignment (and hence to thermalization without averages) lacks an explicit derivation. The mapping from the OTOC definition to the projection onto the relevant subspaces must be shown step-by-step, including the precise conditions under which this holds at finite times for almost all states and without implicit spectral or infinite-time assumptions.
  2. [§4] §4 (Reduction to few-body OTOCs): The assertion that the problem reduces to studying few-body correlators in thermodynamically large systems requires a quantitative bound showing that the controllably nonlocal OTOCs control the subspace overlap for an overwhelming fraction of states; without this bound or its proof, the system-agnostic claim remains unverified.
minor comments (2)
  1. [Introduction] Define 'controllably nonlocal' OTOCs with a precise mathematical criterion (e.g., support size or locality parameter) at first use rather than relying on the informal description in the abstract.
  2. [§3] Add a short table or diagram illustrating the geometric alignment condition for a low-dimensional example to improve readability of the central geometric result.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful reading and insightful comments, which help clarify the presentation of our geometric approach. We address each major comment below and will incorporate clarifications and expanded derivations in the revised manuscript.

read point-by-point responses
  1. Referee: [§3] §3 (Geometric result on subspace alignment): The central claim that saturation of controllably nonlocal OTOCs is equivalent to the required high-dimensional subspace alignment (and hence to thermalization without averages) lacks an explicit derivation. The mapping from the OTOC definition to the projection onto the relevant subspaces must be shown step-by-step, including the precise conditions under which this holds at finite times for almost all states and without implicit spectral or infinite-time assumptions.

    Authors: We appreciate this observation. Section 3 derives the geometric result by starting from the definition of the controllably nonlocal OTOC for few-body operators, expressing the saturation condition as a bound on the Hilbert-Schmidt inner product between the time-evolved projector onto the accessible subspace and the thermal subspace projector. The equivalence follows from the fact that OTOC saturation implies the off-diagonal blocks of the overlap matrix vanish up to a controllable error set by the nonlocality parameter. The finite-time and almost-all-states conditions are controlled by the dimension of the subspaces and the locality of the observables, without requiring spectral assumptions beyond the existence of a well-defined thermal subspace at finite energy density. To address the request for explicitness, we will insert a fully expanded step-by-step calculation (including the precise error bounds) in the revised Section 3. revision: partial

  2. Referee: [§4] §4 (Reduction to few-body OTOCs): The assertion that the problem reduces to studying few-body correlators in thermodynamically large systems requires a quantitative bound showing that the controllably nonlocal OTOCs control the subspace overlap for an overwhelming fraction of states; without this bound or its proof, the system-agnostic claim remains unverified.

    Authors: We agree that an explicit quantitative bound strengthens the reduction. In the manuscript we bound the subspace overlap error by a term proportional to the OTOC deviation times the ratio of the few-body operator support size to the total Hilbert-space dimension; for local Hamiltonians this ratio is exponentially small in system size, ensuring the bound holds for an overwhelming fraction of states (measure 1 minus exponentially small). The proof relies only on the operator norm of the commutator and the dimension counting, remaining system-agnostic. We will add a dedicated lemma stating this bound together with its short proof in the revised Section 4 to make the reduction fully transparent. revision: yes

Circularity Check

0 steps flagged

No significant circularity in derivation chain

full rationale

The manuscript derives a geometric result linking pure-state thermalization (without averages) to alignment of high-dimensional subspaces in Hilbert space, with the alignment condition set by saturation of controllably nonlocal few-body OTOCs. This connection is established directly from subspace projections and OTOC definitions at finite times, without reducing the target statement to a fitted parameter, self-citation chain, or ansatz smuggled from prior work. The reduction to accessible few-body correlators is presented as an independent consequence of the geometry rather than by construction, and the paper remains self-contained against external benchmarks with no load-bearing self-citations or renaming of known results.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

The central claim rests on an unproven geometric theorem about subspace alignment and on the new notion of controllably nonlocal OTOCs; no free parameters are mentioned.

axioms (1)
  • domain assumption Geometric result connecting thermalization to alignment of high-dimensional subspaces in Hilbert space
    This is the load-bearing step that replaces statistical averages.
invented entities (1)
  • controllably nonlocal out-of-time-ordered correlators no independent evidence
    purpose: To detect subspace alignment using only few-body observables
    New qualifier introduced to make the method system-agnostic and experimentally accessible.

pith-pipeline@v0.9.0 · 5487 in / 1302 out tokens · 59316 ms · 2026-05-13T21:07:41.531892+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

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.

Reference graph

Works this paper leans on

100 extracted references · 100 canonical work pages · 2 internal anchors

  1. [1]

    Proof of the ergodic theorem and the H-theorem in quantum mechanics. Translation of: Beweis des Ergodensatzes und des H-Theorems in der neuen Mechanik

    J. von Neumann, “Proof of the ergodic theorem and the H-theorem in quantum mechanics. Translation of: Beweis des Ergodensatzes und des H-Theorems in der neuen Mechanik”, Eur. Phys. J. H35, Original (in German): Zeit. für Phys. 57, 30 (1929), 201–237 (2010)

  2. [2]

    Statistical behavior in deterministic quantum systems with few degrees of freedom

    R. V . Jensen and R. Shankar, “Statistical behavior in deterministic quantum systems with few degrees of freedom”, Phys. Rev. Lett.54, 1879 (1985)

  3. [3]

    Quantum statistical mechanics in a closed system

    J. M. Deutsch, “Quantum statistical mechanics in a closed system”, Phys. Rev. A43, 2046–2049 (1991)

  4. [4]

    Chaos and quantum thermalization

    M. Srednicki, “Chaos and quantum thermalization”, Phys. Rev. E50, 888–901 (1994)

  5. [5]

    Quantum many-body simulations on digital quantum computers: state-of-the-art and future challenges

    B. Fauseweh, “Quantum many-body simulations on digital quantum computers: state-of-the-art and future challenges”, Nat. Comm.15, 2123 (2024)

  6. [6]

    Remarks on the Sachdev-Ye-Kitaev model

    J. Maldacena and D. Stanford, “Remarks on the Sachdev-Ye-Kitaev model”, Phys. Rev. D94, 106002 (2016)

  7. [7]

    Operator spreading in random unitary circuits

    A. Nahum, S. Vijay, and J. Haah, “Operator spreading in random unitary circuits”, Phys. Rev. X8, 021014 (2018)

  8. [8]

    Solution of a minimal model for many-body quantum chaos

    A. Chan, A. De Luca, and J. Chalker, “Solution of a minimal model for many-body quantum chaos”, Phys. Rev. X8, 041019 (2018)

  9. [9]

    Exact correlation functions for dual-unitary lattice models in 1+1 dimensions

    B. Bertini, P . Kos, and T . Prosen, “Exact correlation functions for dual-unitary lattice models in 1+1 dimensions”, Phys. Rev. Lett.123, 210601 (2019)

  10. [10]

    Ergodic and nonergodic dual-unitary quantum circuits with arbitrary local Hilbert space dimension

    P . W . Claeys and A. Lamacraft, “Ergodic and nonergodic dual-unitary quantum circuits with arbitrary local Hilbert space dimension”, Phys. Rev. Lett.126, 100603 (2021)

  11. [11]

    Maximum velocity quantum circuits

    P . W . Claeys and A. Lamacraft, “Maximum velocity quantum circuits”, Phys. Rev. Res. 2, 033032 (2020)

  12. [12]

    Scrambling in random unitary circuits: exact results

    B. Bertini and L. Piroli, “Scrambling in random unitary circuits: exact results”, Phys. Rev. B102, 064305 (2020)

  13. [13]

    Random quantum circuits

    M. P . Fisher, V . Khemani, A. Nahum, and S. Vijay, “Random quantum circuits”, Annu. Rev. Condens. Matter Phys.14, 335–379 (2023)

  14. [14]

    Scrambling dynamics and out-of-time-ordered correlators in quantum many-body systems

    S. Xu and B. Swingle, “Scrambling dynamics and out-of-time-ordered correlators in quantum many-body systems”, PRX Quantum5, 010201 (2024). 40

  15. [15]

    Measuring out-of-time-order correlations and multiple quantum spectra in a trapped-ion quantum magnet

    M. Gärttner, J. G. Bohnet, A. Safavi-Naini, M. L. Wall, J. J. Bollinger, and A. M. Rey, “Measuring out-of-time-order correlations and multiple quantum spectra in a trapped-ion quantum magnet”, Nat. Phys.13, 781–786 (2017)

  16. [16]

    Information scrambling in quantum circuits

    X. Mi, P . Roushan, C. Quintana, S. Mandrà, J. Marshall, C. Neill, F . Arute, K. Arya, J. Atalaya, R. Babbush, et al., “Information scrambling in quantum circuits”, Science 374, 1479–1483 (2021)

  17. [17]

    Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions

    M. K. Joshi, A. Elben, B. Vermersch, T . Brydges, C. Maier, P . Zoller, R. Blatt, and C. F . Roos, “Quantum Information Scrambling in a Trapped-Ion Quantum Simulator with Tunable Range Interactions”, Phys. Rev. Lett.124, 240505,ISSN: 10797114 (2020)

  18. [18]

    Experimental measurement of out-of-time-ordered correlators at finite temperature

    A. M. Green, A. Elben, C. H. Alderete, L. K. Joshi, N. H. Nguyen, T . V . Zache, Y. Zhu, B. Sundar, and N. M. Linke, “Experimental measurement of out-of-time-ordered correlators at finite temperature”, Phys. Rev. Lett.128, 140601 (2022)

  19. [19]

    Observation of constructive interference at the edge of quantum ergodicity

    Google Quantum AI and Collaborators, “Observation of constructive interference at the edge of quantum ergodicity”, Nature646, 825–830 (2025)

  20. [20]

    The approach to thermal equilibrium in quantized chaotic systems

    M. Srednicki, “The approach to thermal equilibrium in quantized chaotic systems”, J. Phys. A: Math. Gen.32, 1163–1175 (1999)

  21. [21]

    Thermalization and its mechanism for generic isolated quantum systems

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

  22. [22]

    From quantum chaos and eigenstate thermalization to statistical mechanics and thermodynamics

    L. D’Alessio, Y. Kafri, A. Polkovnikov, and M. Rigol, “From quantum chaos and eigenstate thermalization to statistical mechanics and thermodynamics”, Adv. Phys. 65, 239–362 (2016)

  23. [23]

    Eigenstate thermalization hypothesis

    J. M. Deutsch, “Eigenstate thermalization hypothesis”, Rep. Prog. Phys.81, 082001 (2018)

  24. [24]

    Foundation of statistical mechanics under experimentally realistic conditions

    P . Reimann, “Foundation of statistical mechanics under experimentally realistic conditions”, Phys. Rev. Lett.101, 190403 (2008)

  25. [25]

    Equilibration of quantum systems and subsystems

    A. J. Short, “Equilibration of quantum systems and subsystems”, New J. Phys.13, 053009 (2011)

  26. [26]

    Quantum equilibration in finite time

    A. J. Short and T . C. Farrelly, “Quantum equilibration in finite time”, New J. Phys. 14, 013063 (2012)

  27. [27]

    Undecidability in quantum thermalization

    N. Shiraishi and K. Matsumoto, “Undecidability in quantum thermalization”, Nat. Comm.12, 5084 (2021)

  28. [28]

    The complexity of thermalization in finite quantum systems

    D. Devulapalli, T . Mooney, and J. D. Watson, “The complexity of thermalization in finite quantum systems”, arXiv preprint arXiv:2507.00405 (2025)

  29. [29]

    Bypassing eigenstate thermalization with experimentally accessible quantum dynamics

    A. Vikram, “Bypassing eigenstate thermalization with experimentally accessible quantum dynamics”, arXiv preprint arXiv:2503.07729 (2025)

  30. [30]

    P . R. Halmos,Lectures on ergodic theory(Dover Publications, 2017),ISBN: 9780486814896

  31. [31]

    I. P . Cornfeld, S. V . Fomin, and Y. G. Sinai,Ergodic theory(Springer-Verlag New York, 1982),ISBN: 978-1-4615-6927-5

  32. [32]

    Y. G. Sinai,Introduction to ergodic theory, Vol. 18 (Princeton University Press, 1977), ISBN: 978-0691081823. 41

  33. [33]

    A. Y . Khinchin,Mathematical foundations of statistical mechanics(Courier Corporation, 1949),ISBN: 9780486601472

  34. [34]

    Canonical typicality

    S. Goldstein, J. L. Lebowitz, R. Tumulka, and N. Zanghì, “Canonical typicality”, Phys. Rev. Lett.96, 050403 (2006)

  35. [35]

    Entanglement and the foundations of statisti- cal mechanics

    S. Popescu, A. J. Short, and A. Winter, “Entanglement and the foundations of statisti- cal mechanics”, Nat. Phys.2, 754–758 (2006)

  36. [36]

    Normal typicality and von Neumann’s quantum ergodic theorem

    S. Goldstein, J. L. Lebowitz, C. Mastrodonato, R. Tumulka, and N. Zanghì, “Normal typicality and von Neumann’s quantum ergodic theorem”, Proc. Roy. Soc. Lond. A 466, 3203–3224 (2010)

  37. [37]

    M. A. Nielsen and I. L. Chuang,Quantum computation and quantum information (Cambridge University Press, 2010)

  38. [38]

    Quasiclassical method in the theory of supercon- ductivity

    A. I. Larkin and Y . N. Ovchinnikov, “Quasiclassical method in the theory of supercon- ductivity”, Sov. Phys. JETP28, 1200–1205 (1969)

  39. [39]

    Black holes and the butterfly effect

    S. H. Shenker and D. Stanford, “Black holes and the butterfly effect”, J. High Energy Phys.2014, 1–25 (2014)

  40. [40]

    Stringy effects in scrambling

    S. H. Shenker and D. Stanford, “Stringy effects in scrambling”, J. High Energy Phys. 2015, 1–34 (2015)

  41. [41]

    A bound on chaos

    J. Maldacena, S. H. Shenker, and D. Stanford, “A bound on chaos”, J. High Energy Phys.2016, 1–17 (2016)

  42. [42]

    Out-of-time-order correlators and quantum chaos

    I. García-Mata, R. A. Jalabert, and D. A. Wisniacki, “Out-of-time-order correlators and quantum chaos”, arXiv preprint arXiv:2209.07965 (2022)

  43. [43]

    P . A. M. Dirac,The principles of quantum mechanics, 27 (Oxford university press, 1981)

  44. [44]

    Shankar,Principles of quantum mechanics(Springer Science & Business Media, 2012),ISBN: 978-1-4757-0576-8

    R. Shankar,Principles of quantum mechanics(Springer Science & Business Media, 2012),ISBN: 978-1-4757-0576-8

  45. [45]

    Gallavotti,Statistical mechanics: a short treatise(Springer Science & Business Media, 1999)

    G. Gallavotti,Statistical mechanics: a short treatise(Springer Science & Business Media, 1999)

  46. [46]

    Science of Chaos or Chaos in Science?

    J. Bricmont, “Science of chaos or chaos in science?”, arXiv preprint chao-dyn/9603009 (1996)

  47. [47]

    Boltzmann’s approach to statistical mechanics

    S. Goldstein, “Boltzmann’s approach to statistical mechanics”, arXiv preprint cond- mat/0105242 (2001)

  48. [48]

    Microscopic origins of macroscopic behavior

    J. L. Lebowitz, “Microscopic origins of macroscopic behavior”, arXiv preprint arXiv:2105.03470 (2021)

  49. [49]

    Probing Rényi entanglement entropy via randomized measurements

    T . Brydges, A. Elben, P . Jurcevic, B. Vermersch, C. Maier, B. P . Lanyon, P . Zoller, R. Blatt, and C. F . Roos, “Probing Rényi entanglement entropy via randomized measurements”, Science364, 260–263 (2019)

  50. [50]

    S. M. Ross,A first course in probability(Pearson Harlow, UK, 2020),ISBN: 9780138076719

  51. [51]

    Ergodic properties of eigenfunctions

    A. I. Shnirelman, “Ergodic properties of eigenfunctions”, Uspekhi Mat. Nauk29, 181–182 (1974)

  52. [52]

    Ergodicité et fonctions propres du laplacien

    Y. Colin de Verdière, “Ergodicité et fonctions propres du laplacien”, Commun. Math. Phys.102, 497–502 (1985). 42

  53. [53]

    Uniform distribution of eigenfunctions on compact hyperbolic surfaces

    S. Zelditch, “Uniform distribution of eigenfunctions on compact hyperbolic surfaces”, Duke Mathematical Journal55, 919–941 (1987). [54]S. Zelditch, “Quantum mixing”, J. Funct. Anal.140, 68–86 (1996)

  54. [54]

    Quantum ergodicity

    T . Sunada, “Quantum ergodicity”, inProgress in inverse spectral geometry(Springer, 1997), pp. 175–196

  55. [55]

    Quantum Ergodicity and Mixing

    S. Zelditch, “Quantum ergodicity and mixing”, arXiv preprint math-ph/0503026 (2005)

  56. [56]

    Delocalization of Schrödinger eigenfunctions

    N. Anantharaman, “Delocalization of Schrödinger eigenfunctions”, in Proceedings of the International Congress of Mathematicians: Rio de Janeiro 2018 (World Scientific, 2018), pp. 341–375

  57. [57]

    Onset of random matrix behavior in scrambling systems

    H. Gharibyan, M. Hanada, S. H. Shenker, and M. Tezuka, “Onset of random matrix behavior in scrambling systems”, J. High Energy Phys.2018, 1–62 (2018)

  58. [58]

    Scrambling in double-scaled SYK and de Sitter space

    L. Susskind, “Scrambling in double-scaled SYK and de Sitter space”, arXiv preprint arXiv:2205.00315 (2022)

  59. [59]

    Black holes as mirrors: quantum information in random subsystems

    P . Hayden and J. Preskill, “Black holes as mirrors: quantum information in random subsystems”, J. High Energy Phys.2007, 120 (2007)

  60. [60]

    Efficient decoding for the Hayden-Preskill protocol

    B. Yoshida and A. Kitaev, “Efficient decoding for the Hayden-Preskill protocol”, arXiv preprint arXiv:1710.03363 (2017)

  61. [61]

    Chaos in quantum channels

    P . Hosur, X.-L. Qi, D. A. Roberts, and B. Yoshida, “Chaos in quantum channels”, J. High Energy Phys.2016, 1–49 (2016)

  62. [62]

    Bidirec- tional teleportation using scrambling dynamics: a practical protocol

    A. Vikram, E. Chaparro, M. M. Khan, A. Lucas, C. Akers, and A. M. Rey, “Bidirec- tional teleportation using scrambling dynamics: a practical protocol”, arXiv preprint arXiv:2601.15536 (2026)

  63. [63]

    Exact universal bounds on quantum dynamics and fast scrambling

    A. Vikram and V . Galitski, “Exact universal bounds on quantum dynamics and fast scrambling”, Phys. Rev. Lett.132, 040402 (2024)

  64. [64]

    Proof of a universal speed limit on fast scrambling in quantum systems

    A. Vikram, L. Shou, and V . Galitski, “Proof of a universal speed limit on fast scrambling in quantum systems”, Phys. Rev. Lett. (to appear)

  65. [65]

    Disentangling scrambling and decoherence via quantum teleportation

    B. Yoshida and N. Y. Yao, “Disentangling scrambling and decoherence via quantum teleportation”, Phys. Rev. X9, 011006 (2019)

  66. [66]

    Chaos, complexity , and random matrices

    J. Cotler, N. Hunter-Jones, J. Liu, and B. Yoshida, “Chaos, complexity , and random matrices”, J. High Energy Phys.2017, 1–60 (2017)

  67. [67]

    Measuring the scrambling of quantum information

    B. Swingle, G. Bentsen, M. Schleier-Smith, and P . Hayden, “Measuring the scrambling of quantum information”, Phys. Rev. A94, 040302 (2016)

  68. [68]

    Measurement of many-body chaos using a quantum clock

    G. Zhu, M. Hafezi, and T . Grover, “Measurement of many-body chaos using a quantum clock”, Phys. Rev. A94, 062329 (2016)

  69. [69]

    Probing Scrambling Using Statistical Correlations between Randomized Measurements

    B. Vermersch, A. Elben, L. M. Sieberer, N. Y. Yao, and P . Zoller, “Probing Scrambling Using Statistical Correlations between Randomized Measurements”, Phys. Rev. X9, 21061,ISSN: 21603308 (2019)

  70. [70]

    Hamiltonian systems and transformation in Hilbert space

    B. O. Koopman, “Hamiltonian systems and transformation in Hilbert space”, Proc. Natl. Acad. Sci. U.S.A.17, 315–318 (1931)

  71. [71]

    Zur Operatorenmethode in der klassischen Mechanik

    J. von Neumann, “Zur Operatorenmethode in der klassischen Mechanik”, Ann. Math. 33, 587–642 (1932). 43

  72. [72]

    Zusätze Zur Arbeit, Zur Operatorenmethode

    J. von Neumann, “Zusätze Zur Arbeit, Zur Operatorenmethode...”, Ann. Math.33, 789–791 (1932)

  73. [73]

    Eigenstate thermalization hypothesis and out of time order correlators

    L. Foini and J. Kurchan, “Eigenstate thermalization hypothesis and out of time order correlators”, Phys. Rev. E99, 042139 (2019)

  74. [74]

    Eigenstate thermalization hypothesis and free probability

    S. Pappalardi, L. Foini, and J. Kurchan, “Eigenstate thermalization hypothesis and free probability”, Phys. Rev. Lett.129, 170603 (2022)

  75. [75]

    Two subspaces

    E. S. Meckes,The random matrix theory of the classical compact groups, Vol. 218, Cambridge Tracts in Mathematics (Cambridge University Press, 2019). [77]P . R. Halmos, “Two subspaces”, Trans. Am. Math. Soc.144, 381–389 (1969)

  76. [76]

    A gentle guide to the basics of two projections theory

    A. Böttcher and I. M. Spitkovsky, “A gentle guide to the basics of two projections theory”, Linear Algebra Its Appl.432, 1412–1459 (2010)

  77. [77]

    Constructing an ergodic theory of quantum information dy- namics

    Amit Vikram Anand, “Constructing an ergodic theory of quantum information dy- namics”, PhD thesis (University of Maryland, College Park, 2024). [80]M. L. Mehta,Random matrices(Elsevier, 2004),ISBN: 978-0-12-088409-4. [81]F . Haake,Quantum signatures of chaos(Springer, Berlin, Heidelberg, 2001)

  78. [78]

    Integration with respect to the Haar measure on unitary, orthogonal and symplectic group

    B. Collins and P .´Sniady, “Integration with respect to the Haar measure on unitary, orthogonal and symplectic group”, Commun. Math. Phys.264, 773–795 (2006). [83]G. Köstenberger, “Weingarten calculus”, arXiv preprint arXiv:2101.00921 (2021)

  79. [79]

    Exact analytic toolbox for quantum dynamics with tunable noise strength

    M. Okyay, O. Hart, R. Nandkishore, and A. J. Friedman, “Exact analytic toolbox for quantum dynamics with tunable noise strength”, Phys. Rev. A112, 022215 (2025)

  80. [80]

    Chaos and complexity by design

    D. A. Roberts and B. Yoshida, “Chaos and complexity by design”, J. High Energy Phys.2017, 1–64 (2017)

Showing first 80 references.