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arxiv: 2603.28277 · v3 · submitted 2026-03-30 · 🪐 quant-ph · cond-mat.stat-mech· hep-th

Genuine and Non-Genuine Quantum Non-Markovianity: A Unified Information-Theoretic Review

Pith reviewed 2026-05-14 21:58 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.stat-mechhep-th
keywords quantum non-Markovianitygenuine quantum featuresinformation backflowCP-divisibilityprocess tensorstate distinguishabilityopen quantum systemsmemory effects
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The pith

Different information-theoretic frameworks can be compared to separate genuine quantum non-Markovianity from classical memory effects in open dynamics.

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

The paper reviews recent work on quantum non-Markovianity and focuses on which features of open-system dynamics count as genuinely quantum rather than arising from classical sources. It examines how information backflow is quantified in three main families of approaches: state-distinguishability measures, CP-divisibility criteria, and process-tensor constructions. For each family the review states the physical motivation, the operational criteria used to label an effect genuine, and the practical limitations of that criterion. The goal is to clarify where the frameworks agree and disagree so that future studies can select the most appropriate test for a given physical setting.

Core claim

No single definition yet isolates genuinely quantum memory effects; instead, each framework supplies its own operational test based on information backflow, and these tests can be placed side by side to reveal which observed memory phenomena survive when classical or non-genuine contributions are subtracted.

What carries the argument

Information backflow, defined as the revival of distinguishability or coherence that cannot be explained by classical stochastic processes alone.

If this is right

  • Experimental protocols can be chosen according to which framework best matches the available control and measurement resources.
  • Quantum devices that rely on memory effects can be certified as using genuine quantum resources rather than classical simulation.
  • Theoretical models of open-system dynamics can be classified by whether their memory is robust under the stricter genuine-quantum tests.
  • Resource theories of quantum memory can be built by adopting the strongest common criterion across the surveyed frameworks.

Where Pith is reading between the lines

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

  • The review's comparison may help identify dynamics in which non-Markovianity is useful for quantum error correction or sensing even if it fails stricter genuine-quantum tests.
  • Process-tensor methods appear most flexible for multi-time correlations, suggesting they could serve as a reference standard when the other two frameworks disagree.
  • Future work could test whether the distinctions drawn here remain stable when the open system is coupled to a finite rather than infinite environment.

Load-bearing premise

Existing frameworks for detecting memory effects can be compared directly without introducing new conceptual inconsistencies.

What would settle it

A concrete open-system dynamics for which one framework reports genuine quantum non-Markovianity while another reports only classical or non-genuine contributions, with an agreed-upon experimental protocol that can decide between the two reports.

Figures

Figures reproduced from arXiv: 2603.28277 by Rajeev Gangwar, Ujjwal Sen.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2 [PITH_FULL_IMAGE:figures/full_fig_p002_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Classification of non-Markovianity in quantum dynamics of [PITH_FULL_IMAGE:figures/full_fig_p003_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Trace distance between the evolved states [PITH_FULL_IMAGE:figures/full_fig_p018_4.png] view at source ↗
read the original abstract

Understanding whether the features of open quantum dynamics are genuinely quantum remains a central challenge in quantum dynamics. Even though the non-Markovian behavior of quantum dynamics has been widely investigated across different settings, there is still no consensus on which properties of a dynamics reflect genuine quantum features and which arise from classical or non-genuine quantum sources. In this review, we provide detailed information on recent developments in characterizing quantum non-Markovianity based on information backflow and the nature of its origin. We also present a survey on how various approaches separate classical and quantum contributions, as well as how they define operational tasks that reveal genuine quantum non-Markovianity. We analyze several frameworks, including state-distinguishability -based, channel-based (``CP-divisibility''), and process-tensor methods. For each framework, we outline the underlying physical motivation, the criteria proposed to distinguish genuine quantum non-Markovianity from practical or apparent memory effects. We further compare different approaches and their strengths and limitations. The review aims to clarify the conceptual and operational aspects of quantum non-Markovian processes based on their nature and to provide a foundation for future research on quantum non-Markovianity and its role in advancing quantum information science and technology.

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

0 major / 2 minor

Summary. The manuscript is a review surveying frameworks for distinguishing genuine quantum non-Markovianity from classical or apparent effects in open quantum dynamics. It examines state-distinguishability-based methods, CP-divisibility (channel-based approaches), and process-tensor techniques, outlining for each the physical motivations, proposed criteria, operational tasks, strengths, and limitations before providing side-by-side comparisons. The central aim is to clarify conceptual and operational distinctions and supply a foundation for future work on quantum memory effects.

Significance. If the comparisons are accurate and balanced, the review could meaningfully address the acknowledged lack of consensus by synthesizing information-theoretic perspectives across frameworks. It may serve as a useful reference for identifying operational signatures of genuine quantum backflow, thereby supporting progress in quantum information processing and technologies that rely on controlled non-Markovian dynamics.

minor comments (2)
  1. [Abstract and concluding section] The abstract states the goal of unification but the manuscript presents the frameworks largely in parallel; a concluding synthesis section or summary table explicitly mapping agreement and disagreement on benchmark dynamics would strengthen the 'unified' aspect of the title.
  2. [Process-tensor methods subsection] Ensure that all cited references in the process-tensor discussion include the most recent operational characterizations (post-2022) to avoid any perception of incomplete coverage.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive assessment of our manuscript, the clear summary of its scope, and the recommendation for minor revision. No specific major comments were provided in the report, so we interpret this as an endorsement of the overall structure, comparisons, and information-theoretic focus. We will use the revision to incorporate any minor editorial or presentational suggestions that may arise during the process.

Circularity Check

0 steps flagged

Review of external frameworks with no internal derivations or self-referential reductions

full rationale

This is a survey paper that outlines motivations, criteria, strengths, and limitations of existing frameworks (state-distinguishability, CP-divisibility, process-tensor) drawn from prior literature. No new equations, theorems, or unification derivations are introduced whose validity depends on self-citations, fitted parameters, or ansatzes from the authors' own prior work. The central claims are clarifications and comparisons of established approaches, remaining self-contained against external benchmarks without any load-bearing step that reduces to its own inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

As a review, the central claim rests on the accuracy and completeness of the surveyed literature in quantum information theory rather than new derivations or postulates.

axioms (1)
  • standard math Standard axioms of quantum mechanics and completely positive trace-preserving maps for open-system dynamics
    Invoked throughout the description of CP-divisibility and information backflow criteria.

pith-pipeline@v0.9.0 · 5530 in / 1195 out tokens · 35373 ms · 2026-05-14T21:58:30.136168+00:00 · methodology

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Works this paper leans on

77 extracted references · 77 canonical work pages · 3 internal anchors

  1. [1]

    P-DIVISIBILITY VS INFORMATION BACKFLOW Divisibility-based and information-backflow-based ap- proaches to quantum non-Markovianity are often discussed in tandem, yet they probe distinct structural and operational aspects of open quantum dynamics. While divisibility charac- terizes the intrinsic properties of the dynamical map itself, in- formation backflow...

  2. [2]

    revivals

    GENUINE VS NON-GENUINE BACKFLOW OF INFORMATION Despite the diversity and sophistication of the measures and definitions discussed in section 3, a common limitation remains: none of these approaches distinguishes the nature of the information backflow or memory responsible for non- Markovian behavior in dynamics. In particular, CP indivis- ibility, informa...

  3. [3]

    PROCESS TENSORS VS. DYNAMICAL MAPS In this review, A sharp and practically important ques- tion in the study of genuine quantum non-Markovianity is whether the memory sustaining non-Markovian dynamics is itself quantum, or whether a classical stochastic process suf- fices to reproduce it. Bäcker, Link, and Strunz [71, 72] address this directly for the spi...

  4. [4]

    SUMMARY In this review, we presented a comprehensive and unified account of non-Markovian dynamical systems, with a partic- ular focus on the nature of the backflow behavior. While non- Markovianity is often associated with information backflow or the violation of divisibility conditions, an emerging question occurring from recent research is that such si...

  5. [5]

    For this example, it is convenient to start from the sim- plest structure qubit channel

    Example: RHP vs BLP non-Markovianity Here, we will show that both approaches, BLP and RHP, capture different things and do not show equivalence to each other. For this example, it is convenient to start from the sim- plest structure qubit channel. Any such channel can be written as a probabilistic mixture of Pauli operators, Λt(ρ)= 3X i=0 pi(t)σ iρσi,(B1)...

  6. [6]

    Example: process tensor non-Markovianity Consider a dynamical model in which a system qubitSin- teracts sequentially with two environment qubitsE 1 andE 2 at timest 1 andt 2. Each dynamics is governed by the same uni- taryUacting onS⊗E; a convenient choice is the partial-swap unitary U(θ)=cosθ1+isinθU SW AP,(B9) which generates a CPTP map onSwhenEis trace...

  7. [7]

    Example: classical mixing induce non-genuine non-Markovianity We explicitly analyze the evolution of the state under a sin- gle Markovian unitary channel and under a classically mixed unitary dynamics, and compute the corresponding trace dis- tance in both cases. Let’s consider the initial state is |+⟩= 1√ 2 (|0⟩+|1⟩), ρ +(0)= 1 2 1 1 1 1 ! .(B19) First, ...

  8. [9]

    da Silva, G

    M. da Silva, G. Viswanathan, and J. Cressoni, A two- dimensional non-markovian random walk leading to anomalous diffusion, Physica A: Statistical Mechanics and its Applications 421, 522 (2015)

  9. [10]

    Vitali, P

    S. Vitali, P. Paradisi, and G. Pagnini, Anomalous diffusion orig- inated by two markovian hopping-trap mechanisms, Journal of Physics A: Mathematical and Theoretical55, 224012 (2022)

  10. [11]

    N. R. Barraza, G. Pena, J. Gambini, and M. Floren- cia Carusela, A non-homogeneous, non-stationary and path- dependent markov anomalous diffusion model, Journal of Physics A: Mathematical and Theoretical58, 095001 (2025)

  11. [12]

    M. D. Chekroun, H. Liu, and J. C. McWilliams, Non-markovian reduced models to unravel transitions in non-equilibrium sys- tems, Journal of Physics A: Mathematical and Theoretical58, 045204 (2025)

  12. [13]

    V . S. V olkov and A. I. Leonov, Non-markovian brownian mo- tion in a viscoelastic fluid, The Journal of Chemical Physics 104, 5922 (1996)

  13. [14]

    Abbasi, R

    A. Abbasi, R. R. Netz, and A. Naji, Non-markovian model- ing of nonequilibrium fluctuations and dissipation in active vis- coelastic biomatter, Phys. Rev. Lett.131, 228202 (2023)

  14. [15]

    T. N. Azevedo and L. G. Rizzi, Heterogeneous response and non-markovianity in the microrheology of semisolid viscoelas- tic materials (2025), arXiv:2506.05311

  15. [16]

    Román-Ancheyta, B

    R. Román-Ancheyta, B. i. e. i. f. m. c. Çakmak, R. d. J. León-Montiel, and A. Perez-Leija, Quantum transport in non- markovian dynamically disordered photonic lattices, Phys. Rev. A103, 033520 (2021)

  16. [17]

    Density-Dependence Subdiffusion in Chemotaxis

    A. Al-Sabbagh, Density-dependence subdiffusion in chemo- taxis (2016), arXiv:1512.08438 [cond-mat.stat-mech]

  17. [18]

    Iomin, Non-markovian quantum mechanics on comb, Chaos: An Interdisciplinary Journal of Nonlinear Science34, 093135 (2024)

    A. Iomin, Non-markovian quantum mechanics on comb, Chaos: An Interdisciplinary Journal of Nonlinear Science34, 093135 (2024)

  18. [19]

    L. A. da Silva and R. D. Vilela, Colored noise and memory ef- fects on formal spiking neuron models, Phys. Rev. E91, 062702 (2015)

  19. [20]

    M. R. Murty and A. N. Prasad, Markov processes and brain network hubs (2024), arXiv:2407.18924

  20. [22]

    Zhang, J

    Z. Zhang, J. Liang, Z. Wang, J. Zhang, and T. Zhou, Model- ing stochastic gene expression: From markov to non-markov models, Mathematical Biosciences and Engineering17, 5304 (2020)

  21. [23]

    O. Vilk, R. Metzler, and M. Assaf, Non-markovian gene expres- sion, Phys. Rev. Res.6, L022026 (2024)

  22. [24]

    X. Yang, Y . Chen, T. Zhou, and J. Zhang, Exploring dissipative sources of non-markovian biochemical reaction systems, Phys. Rev. E103, 052411 (2021)

  23. [25]

    Jafarpour, E

    F. Jafarpour, E. Levien, and A. Amir, Evolutionary dynamics in non-markovian models of microbial populations, Phys. Rev. E 108, 034402 (2023)

  24. [26]

    Streltsov, G

    A. Streltsov, G. Adesso, and M. B. Plenio, Colloquium: Quan- tum coherence as a resource, Rev. Mod. Phys.89, 041003 (2017)

  25. [27]

    Horodecki, P

    R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, 20 Quantum entanglement, Reviews of Modern Physics81, 865 (2009)

  26. [28]

    S. Das, T. Chanda, M. Lewenstein, A. Sanpera, A. Sen De, and U. Sen, The separability versus entanglement problem, in Quantum Information(John Wiley & Sons, Ltd, 2016) Chap. 8, pp. 127–174

  27. [29]

    K. Modi, A. Brodutch, H. Cable, T. Paterek, and V . Vedral, The classical-quantum boundary for correlations: Discord and re- lated measures, Rev. Mod. Phys.84, 1655 (2012)

  28. [30]

    A. Bera, T. Das, D. Sadhukhan, S. Singha Roy, A. Sen(De), and U. Sen, Quantum discord and its allies: a review of recent progress, Reports on Progress in Physics81, 024001 (2017)

  29. [31]

    Z. Mann, N. Cao, R. Laflamme, and S. Zhou, Quantum error- corrected non-markovian metrology, PRX Quantum6, 030321 (2025)

  30. [32]

    A. Das, P. Solano, and K. Sinha, Non-markovian spontaneous emission in a tunable cavity formed by atomic mirrors, Phys. Rev. A112, 043723 (2025)

  31. [33]

    Gangwar, M

    R. Gangwar, M. L. Bera, G. P. Teja, S. K. Goyal, and M. N. Bera, Ancilla-assisted protection of information: application to atom–cavity systems, Quantum Information Processing22, 425 (2023)

  32. [34]

    Gangwar, T

    R. Gangwar, T. Pandit, K. Goswami, S. Das, and M. N. Bera, Squashed quantum non-Markovianity: a measure of genuine quantum non-Markovianity in states, Quantum9, 1646 (2025)

  33. [35]

    Buscemi, R

    F. Buscemi, R. Gangwar, K. Goswami, H. Badhani, T. Pandit, B. Mohan, S. Das, and M. N. Bera, Causal and noncausal re- vivals of information: A new regime of non-markovianity in quantum stochastic processes, PRX Quantum6, 020316 (2025)

  34. [36]

    S. Milz, D. Egloff, P. Taranto, T. Theurer, M. B. Plenio, A. Smirne, and S. F. Huelga, When is a non-markovian quan- tum process classical?, Phys. Rev. X10, 041049 (2020)

  35. [37]

    S. Das, A. Yosifov, and J. Sun, Hysteretic squashed entangle- ment in many-body quantum systems (2026)

  36. [38]

    Ángel Rivas, S. F. Huelga, and M. B. Plenio, Quantum non- Markovianity: characterization, quantification and detection, Reports on Progress in Physics77, 094001 (2014)

  37. [39]

    Rivas, S

    A. Rivas, S. F. Huelga, and M. B. Plenio, Entanglement and non-Markovianity of quantum evolutions, Physical Review Let- ters105, 050403 (2010)

  38. [40]

    Breuer, E.-M

    H.-P. Breuer, E.-M. Laine, and J. Piilo, Measure for the degree of non-Markovian behavior of quantum processes in open sys- tems, Physical Review Letters103, 210401 (2009)

  39. [41]

    Chru ´sci´nski, A

    D. Chru ´sci´nski, A. Rivas, and E. Størmer, Divisibility and infor- mation flow notions of quantum markovianity for noninvertible dynamical maps, Phys. Rev. Lett.121, 080407 (2018)

  40. [42]

    Chru ´sci´nski, A

    D. Chru ´sci´nski, A. Kossakowski, and A. Rivas, Measures of non-Markovianity: Divisibility versus backflow of information, Physical Review A83, 052128 (2011)

  41. [43]

    S. Milz, M. S. Kim, F. A. Pollock, and K. Modi, Completely positive divisibility does not mean Markovianity, Physical Re- view Letters123, 040401 (2019)

  42. [44]

    S. Luo, S. Fu, and H. Song, Quantifying non-Markovianity via correlations, Physical Review A86, 044101 (2012)

  43. [45]

    Huang and X.-K

    Z. Huang and X.-K. Guo, Quantifying non-Markovianity via conditional mutual information, Physical Review A104, 032212 (2021)

  44. [46]

    Kołody´nski, S

    J. Kołody´nski, S. Rana, and A. Streltsov, Entanglement negativ- ity as a universal non-Markovianity witness, Physical Review A 101, 020303 (2020)

  45. [47]

    S. Das, S. Khatri, G. Siopsis, and M. M. Wilde, Fundamental limits on quantum dynamics based on entropy change, Journal of Mathematical Physics59, 012205 (2018)

  46. [48]

    H. S. Dhar, M. N. Bera, and G. Adesso, Characterizing non- Markovianity via quantum interferometric power, Physical Re- view A91, 032115 (2015)

  47. [49]

    L. A. M. Souza, H. S. Dhar, M. N. Bera, P. Liuzzo-Scorpo, and G. Adesso, Gaussian interferometric power as a measure of continuous-variable non-Markovianity, Physical Review A92, 052122 (2015)

  48. [50]

    S.-L. Chen, N. Lambert, C.-M. Li, A. Miranowicz, Y .-N. Chen, and F. Nori, Quantifying non-Markovianity with temporal steer- ing, Physical Review Letters116, 020503 (2016)

  49. [51]

    M. A. Nielsen and I. L. Chuang,Quantum Computation and Quantum Information: 10th Anniversary Edition(Cambridge University Press, 2010)

  50. [52]

    F. Buscemi, Complete positivity, Markovianity, and the quan- tum data-processing inequality, in the presence of initial system-environment correlations, Physical Review Letters113, 140502 (2014)

  51. [53]

    Alipour, A

    S. Alipour, A. Mani, and A. T. Rezakhani, Quantum discord and non-Markovianity of quantum dynamics, Physical Review A85, 052108 (2012)

  52. [54]

    F. F. Fanchini, G. Karpat, B. Çakmak, L. K. Castelano, G. H. Aguilar, O. J. Farías, S. P. Walborn, P. H. S. Ribeiro, and M. C. de Oliveira, Non-Markovianity through accessible information, Physical Review Letters112, 210402 (2014)

  53. [55]

    Haseli, G

    S. Haseli, G. Karpat, S. Salimi, A. S. Khorashad, F. F. Fanchini, B. Çakmak, G. H. Aguilar, S. P. Walborn, and P. H. S. Ribeiro, Non-Markovianity through flow of information between a sys- tem and an environment, Physical Review A90, 052118 (2014)

  54. [56]

    D. D. Santis and M. Johansson, Equivalence between non- Markovian dynamics and correlation backflows, New Journal of Physics22, 093034 (2020)

  55. [57]

    Petz,Quantum information theory and quantum statistics (Springer, Berlin, Heidelberg, 2007)

    D. Petz,Quantum information theory and quantum statistics (Springer, Berlin, Heidelberg, 2007)

  56. [58]

    Hayden, R

    P. Hayden, R. Jozsa, D. Petz, and A. Winter, Structure of states which satisfy strong subadditivity of quantum entropy with equality, Commun. Math. Phys.246, 359 (2004)

  57. [59]

    Helstrom, Minimum mean-squared error of estimates in quantum statistics, Physics Letters A25, 101 (1967)

    C. Helstrom, Minimum mean-squared error of estimates in quantum statistics, Physics Letters A25, 101 (1967)

  58. [60]

    Kołody´nski, S

    J. Kołody´nski, S. Rana, and A. Streltsov, Entanglement negativ- ity as a universal non-markovianity witness, Phys. Rev. A101, 020303 (2020)

  59. [61]

    Bylicka, M

    B. Bylicka, M. Johansson, and A. Acín, Constructive method for detecting the information backflow of non-Markovian dy- namics, Physical Review Letters118, 120501 (2017)

  60. [62]

    Garbellini, K

    M. Garbellini, K. Mickiewicz, V . Link, A. Eisfeld, and W. T. Strunz, Uniform process tensor approach for the calculation of multi-time correlation functions of non-markovian open sys- tems (2026), 2603.04970

  61. [63]

    S. Das, S. S. Roy, S. Bhattacharya, and U. Sen, Nearly marko- vian maps and entanglement-based bound on corresponding non-markovianity, Journal of Physics A: Mathematical and Theoretical54, 395301 (2021)

  62. [64]

    Chru ´sci´nski and S

    D. Chru ´sci´nski and S. Maniscalco, Degree of non-Markovianity of quantum evolution, Physical Review Letters112, 120404 (2014)

  63. [65]

    Breuer, G

    H.-P. Breuer, G. Amato, and B. Vacchini, Mixing-induced quantum non-markovianity and information flow, New Journal of Physics20, 043007 (2018)

  64. [66]

    Breuer, E.-M

    H.-P. Breuer, E.-M. Laine, J. Piilo, and B. Vacchini, Collo- quium: Non-Markovian dynamics in open quantum systems, Reviews of Modern Physics88, 021002 (2016)

  65. [67]

    L. Li, M. J. Hall, and H. M. Wiseman, Concepts of quantum non-Markovianity: A hierarchy, Phys. Rep.759, 1–51 (2018)

  66. [68]

    Shrikant and P

    U. Shrikant and P. Mandayam, Quantum non-Markovianity: Overview and recent developments, Frontiers in Quantum Sci- 21 ence and Technology2, 1134583 (2023)

  67. [69]

    Milz and K

    S. Milz and K. Modi, Quantum stochastic processes and quan- tum non-markovian phenomena, PRX Quantum2, 030201 (2021)

  68. [70]

    Lo Franco, B

    R. Lo Franco, B. Bellomo, E. Andersson, and G. Compagno, Revival of quantum correlations without system-environment back-action, Physical Review A85, 032318 (2012)

  69. [71]

    A. A. Budini, Maximally non-Markovian quantum dynamics without environment-to-system backflow of information, Phys- ical Review A97, 052133 (2018)

  70. [72]

    Giarmatzi and F

    C. Giarmatzi and F. Costa, Witnessing quantum memory in non-Markovian processes, Quantum5, 440 (2021)

  71. [73]

    Banacki, M

    M. Banacki, M. Marciniak, K. Horodecki, and P. Horodecki, In- formation backflow may not indicate quantum memory, Physi- cal Review A107, 032202 (2023)

  72. [74]

    Bäcker, K

    C. Bäcker, K. Beyer, and W. T. Strunz, Local disclosure of quantum memory in non-Markovian dynamics, Physical Re- view Letters132, 060402 (2024)

  73. [75]

    Revealing the quantum nature of memory in non-Markovian dynamics on IBM Quantum

    C. Bäcker, K. Palaparthy, and W. T. Strunz, Revealing the quan- tum nature of memory in non-markovian dynamics on ibm quantum (2025), 2510.19522

  74. [76]

    Bäcker, K

    C. Bäcker, K. Beyer, and W. T. Strunz, Entropic witness for quantum memory in open system dynamics, Phys. Rev. Res.7, 033256 (2025)

  75. [77]

    Hayden, R

    P. Hayden, R. Jozsa, D. Petz, and A. Winter, Structure of states which satisfy strong subadditivity of quantum entropy with equality, Communications in Mathematical Physics246, 359 (2004)

  76. [78]

    Bäcker, V

    C. Bäcker, V . Link, and W. T. Strunz, Verifying quantum mem- ory in the dynamics of spin boson models (2025)

  77. [79]

    Link, H.-H

    V . Link, H.-H. Tu, and W. T. Strunz, Open quantum system dynamics from infinite tensor network contraction, Phys. Rev. Lett.132, 200403 (2024)