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REVIEW 3 major objections 3 minor 106 references

This paper solves quantum resetting to a random past state exactly: the Hamiltonian enters only through Bohr frequencies, and the long-time fate is dictated by whether the spectrum is discrete (gapped) or continuous (gapless).

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-04 09:46 UTC pith:CQNR3JGM

load-bearing objection Exact solution for quantum resetting with uniform memory is solid and new, but the claimed universal log(rt)/r spreading rests on a joint limit whose error terms are not pinned down; worth refereeing as is. the 3 major comments →

arxiv 2608.02297 v1 pith:CQNR3JGM submitted 2026-08-03 cond-mat.stat-mech quant-ph

Quantum resetting with memory

classification cond-mat.stat-mech quant-ph
keywords quantum resettingmemory kernelnon-Markovian dynamicsKummer confluent hypergeometric functionBohr frequenciesgapped and gapless spectraultraslow spreadingpreferential relocation model
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

The paper introduces a quantum resetting protocol in which each reset returns the system to a state it occupied at a uniformly chosen past time, making the dynamics nonunitary and non-Markovian. It proves an exact formula for every density-matrix element in the energy basis: the Hamiltonian appears only through the Bohr frequencies, and each element factorizes as its initial value times a single universal function. From this factorization follows a sharp dichotomy: in gapped systems, coherences decay algebraically and the state relaxes to the energy-diagonal part of the initial density matrix, independent of the resetting rate; in gapless systems, the spatial distribution spreads indefinitely on the ultra-slow scale log(rt)/r. In both cases the state retains a strong memory of its initial condition, unlike conventional resetting. A sympathetic reader cares because the framework is fully general for time-independent Hamiltonians and provides a controlled route to ultraslow, memory-preserving quantum dynamics.

Core claim

The central result is Eq. (13): in the energy eigenbasis, the reset-averaged density matrix evolves as ρ_{r,mn}(t)=ρ_{r,mn}(0) M(iω_{mn}/(r+iω_{mn}); 1; -(r+iω_{mn})t), where M is Kummer's confluent hypergeometric function and ω_{mn}=E_m-E_n are the Bohr frequencies. The Hamiltonian enters only through these energy differences. For a discrete nondegenerate spectrum with minimal gap Δ, populations stay fixed while coherences decay algebraically with exponent ω²/(r²+ω²) and log-periodic oscillations; the stationary state is the infinite-time average of the reset-free unitary dynamics, equal to the initial energy populations and independent of rate r. For a continuous spectrum, arbitrarily smal

What carries the argument

The key object is the single scalar function f(ω,t)=M(iω/(r+iω);1;-(r+iω)t), which solves the integro-differential equation for one matrix element after the memory kernel is eliminated by differentiation. Every density-matrix element is ρ_{r,mn}(t)=ρ_{r,mn}(0) f(ω_{mn},t), so all many-body or few-body complexity reduces to evaluating this one function at the Bohr frequencies. The classification follows from its asymptotics: for fixed nonzero ω, |f| decays as t^{-ω²/(r²+ω²)} with log-periodic phase; in the joint limit ω→0 with ω log(rt) fixed, f≈e^{-iω log(rt)/r}, which produces the universal logarithmic spreading in the gapless case.

Load-bearing premise

The universal log(rt)/r spreading in gapless systems relies on the assumption that the initial density matrix is 'sufficiently regular' so that off-diagonal coherences and higher-order momentum corrections do not contribute on the same scale as the leading term in the joint limit ω log(rt) fixed — a condition the paper states but does not quantify or bound.

What would settle it

Run the paper's own event-driven Monte Carlo for a two-level system with Ω=1, r=0.5, starting from |↑_z⟩, and check at very long times that the coherence follows |ρ_{↑↓}(t)| ∝ t^{-4Ω²/(r²+4Ω²)} with oscillations periodic in log t; if instead the coherence decays exponentially, reaches a nonzero plateau, or the diagonal elements change, the exact solution Eq. (13) and the gapped/gapless classification would be refuted.

Watch this falsifier. Get emailed when new claim-graph text bears on it.

If this is right

  • In any gapped system, the stationary state is the initial energy populations (diagonal of the initial density matrix), independent of the resetting rate r, so the protocol acts as a controlled dephasing that preserves all population information.
  • Relaxation to that state is algebraic, not exponential, with exponent Δ²/(r²+Δ²) set by the smallest Bohr frequency gap, and it is accompanied by oscillations periodic in log t.
  • In gapless systems, the position distribution never settles; it spreads with the universal scale log(rt)/r, which does not depend on the Hamiltonian or the initial state, although the asymptotic shape of the distribution does.
  • The factorization ρ_{r,mn}(t)=ρ_{r,mn}(0)f(ω_{mn},t) means any observable in a gapped system can be computed by summing the initial density-matrix elements times one special function, bypassing the full dynamics.
  • The gapped stationary state coincides with the infinite-time average of the reset-free unitary dynamics, so the memory protocol reproduces time-averaged (dephased) ensembles without any environmental coupling.

Where Pith is reading between the lines

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

  • Because the gapped stationary state is the dephased diagonal ensemble reached without an external bath, this protocol could serve as a built-in dephasing engine for quantum information or precision-measurement settings — a use the paper does not discuss.
  • The universal log(rt)/r spreading in gapless systems is slow enough to be cleanly separated from ballistic or diffusive spreading over a wide time window, suggesting a direct experimental test in cold atoms or trapped ions where resets to past states can be implemented via stored copies.
  • For nonuniform memory kernels (e.g., biased toward recent or distant pasts, as the paper suggests), the special-function solution should generalise, but the gapped/gapless dichotomy — algebraic relaxation versus persistent logarithmic spreading — is likely to survive as long as the kernel is normalized and the spectral criterion still holds.
  • The factorization suggests a single-particle reduction: for Hamiltonians whose spectrum is known (free fermions, integrable chains), the same framework applies with Bohr frequencies given by differences of single-particle energies, so memory resetting may be tractable in many-body settings beyond the examples given.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 3 minor

Summary. The paper introduces a quantum version of stochastic resetting with uniform memory, in which each reset returns the system to a state selected uniformly from its entire past history. The authors formulate an integro-differential master equation (Eq. (5)) and solve it exactly in the energy eigenbasis: every density-matrix element evolves as ρ_{r,mn}(t)=ρ_{r,mn}(0) f(ω_{mn},t), where f is a Kummer function (Eq. (13)). They then separate the long-time behavior into gapped systems, where nonzero Bohr frequencies are bounded below by a gap and coherences decay algebraically while populations are frozen, and gapless systems, where they claim the position distribution spreads universally as log(rt)/r. Illustrative examples include a two-level system, a harmonic oscillator, and a free particle, with Monte Carlo verification for the two-level polarization.

Significance. If correct, this is a valuable contribution: it provides a rare exact solution of a genuinely non-Markovian, nonunitary quantum dynamics. The reduction of the entire problem to a scalar Kummer equation is elegant, and the spectral classification into gapped/gapless regimes is physically illuminating. The gapped-sector results are well supported by the exact solution and the numerical simulation. The paper also makes useful connections to the classical preferential-relocation literature. The main weakness is the derivation of the universal gapless spreading, which is not sufficiently rigorous and currently overstates its independence from the initial state.

major comments (3)
  1. [Appendix C, Eqs. (C.5)–(C.10)] The replacement ρ0(p+q/2, p−q/2, 0) → ρ0(p, p, 0) is not valid in general. For a pure state with a spatial displacement, ψ(p)=e^{-ipx0}φ(p), the off-diagonal matrix element contains a phase e^{-iqx0}. For q ~ 1/log(rt) and x0 of order log(rt) or larger, this phase is not negligible, so the approximation drops a factor that shifts the final position distribution by x0. The resulting Eq. (49) is therefore not translation-covariant, and the claim that the position distribution spreads 'independently of the initial state' is not supported. Please either include such phase factors systematically or restate the result as a statement about the shape relative to the initial centroid, with explicit assumptions on the initial state.
  2. [Appendix C, general joint limit] The derivation of Eq. (49) rests on an uncontrolled joint limit: t→∞ with ω log(rt) fixed, plus the small-q expansion of the dispersion and the replacement of off-diagonal initial coherences by diagonal ones. The text only says 'sufficiently regular initial density matrix' and gives no explicit error bounds. For a generic normalizable state, the off-diagonal term can vary on a scale comparable to 1/log(rt), in which case the correction is of the same order as the leading term. Please state precise regularity assumptions and provide quantitative estimates for the corrections to Eq. (C.10), uniformly in p. Without this, the universal log(rt)/r scaling is not fully established.
  3. [Abstract and Sec. 5] The abstract and conclusions describe gapped systems simply as 'systems with a discrete energy spectrum'. However, the actual condition used in the proof is the existence of a finite spectral gap Δ>0 for all nonzero Bohr frequencies (Eq. (20)). A discrete spectrum can accumulate (e.g., at a threshold), giving arbitrarily small nonzero frequencies and hence no gap. Please align the wording with the mathematical hypothesis, or explicitly discuss the accumulation-point case.
minor comments (3)
  1. [Page 10, Sec. 2, dephasing paragraph] Typo: 'differnce' should be 'difference'.
  2. [Appendix A title] The phrase 'a the “Master equation”' contains a redundant article; should be 'the “Master equation”'.
  3. [Eq. (C.6)] The expansion ε(p+q/2)−ε(p−q/2)≈q v(p) should explicitly mention the remainder term and the order of the error, especially for power-law dispersions with 1<ν<2 where the function is only C^1 at p=0.

Circularity Check

0 steps flagged

No significant circularity: the central exact solution is derived in-line from the newly defined memory-reset master equation, and the long-time scalings follow from asymptotic analysis of that solution, not from fitted inputs or load-bearing self-citations.

full rationale

The paper's central claim, Eq. (13), is self-contained: the protocol is defined by Eq. (5), projection onto energy eigenstates gives Eq. (7), the factorization Eq. (8) reduces it to the integro-differential Eq. (9), and eliminating the memory integral yields Kummer's equation (10)-(11). The solution Eq. (12) is then checked against both initial conditions f(ω,0)=1 and f'(ω,0)=-iω, with ω=0 treated separately. No parameter is fitted to any predicted quantity; the two-level Monte Carlo in Appendix B is an independent numerical verification, not an input. The gapped/gapless distinction and the algebraic decay follow directly from the standard large-argument asymptotics of the same exact solution. For the gapless case, Appendix C starts from the exact expression (C.5) and obtains the log(rt)/r scale through a joint t→∞, q→0 limit; although the regularity assumption on ρ0 is not quantified, this is a mathematical rigor caveat rather than circularity, because the scale is not inserted by hand but emerges from f(ω,t)≈exp(-iω log(rt)/r). Citations to classical memory-reset papers such as Refs. [84], [91], and [94] are used for motivation, contrast, and context; none is invoked as a theorem that forces the quantum result. Thus no reduction of the claimed derivation to its own inputs was found.

Axiom & Free-Parameter Ledger

0 free parameters · 4 axioms · 0 invented entities

No free parameters fitted to data: r, Ω, m, α, κ_ν are inputs. The load-bearing ingredients are the master equation (5), the exact Kummer solution, and the joint-limit asymptotic in Appendix C.

axioms (4)
  • domain assumption The ensemble master equation (5) exactly describes the uniform-memory resetting protocol.
    The reset term uses the time-average of the ensemble density matrix (1/t)∫ρ_r(τ)dτ; this is exact when the selected past time is independent of the trajectory, and is the foundation of the whole analysis.
  • standard math Kummer function M(a;1;u) is the regular solution of Eq. (11), with the DLMF asymptotic (13.7.2) valid for large |u|.
    Used to obtain Eq. (14) and hence the algebraic decay and log-periodic oscillations.
  • domain assumption In the gapless case, f(ω,t)≈e^{-iω log(rt)/r} in the joint limit t→∞, ω log(rt) fixed, and ρ0(p+q/2,p-q/2,0) can be replaced by ρ0(p,p,0).
    Appendix C states this for 'sufficiently regular' initial states; no error bound is given for the neglected off-diagonal and higher-order terms.
  • standard math For power-law dispersion ε_ν(p)=κ_ν|p|^ν with ν>1, the group velocity map is monotonic and invertible.
    Used to write Eqs. (52)-(53) explicitly.

pith-pipeline@v1.3.0-daily-deepseek · 22806 in / 25449 out tokens · 202065 ms · 2026-08-04T09:46:53.654315+00:00 · methodology

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read the original abstract

We introduce a quantum stochastic resetting protocol with uniform memory, in which each resetting event returns the system to a state visited at a time chosen uniformly from its entire history. The resulting dynamics is nonunitary, non-Markovian and a direct quantum generalization of the classical preferential relocation model. Working in the energy eigenbasis, we derive the exact evolution of every density-matrix element for an arbitrary time-independent Hamiltonian and show that the Hamiltonian enters the dynamics only through the corresponding Bohr frequencies. This leads to a natural distinction between two classes of quantum systems: gapped and gapless. In \emph{gapped systems} (systems with a discrete energy spectrum), while the diagonal elements remain unchanged, the off-diagonal elements of the density matrix in the energy eigenbasis decay algebraically with a continuously varying exponent and with an amplitude that oscillates periodically in $\log t$. The system therefore approaches a stationary state that is independent of the resetting rate and retains a strong memory of the initial state. In \emph{gapless systems} (systems with a continuous energy spectrum), arbitrarily small Bohr frequencies prevent stationarity. Instead, the position distribution spreads on the universal (ultra-slow) scale $\log(rt)/r$, independently of the initial state and of the details of the Hamiltonian. We illustrate these results with a two-level system, a harmonic oscillator, and a free quantum particle, and contrast them with their classical counterparts.

Figures

Figures reproduced from arXiv: 2608.02297 by Gabriele de Mauro, Manas Kulkarni, Satya N. Majumdar.

Figure 1
Figure 1. Figure 1: Reset-averaged polarization ⟨σˆz(t)⟩r for a two-level system with Hˆ = Ωˆσx, initially prepared in |↑z⟩. (Left) Exact analytical result in Eq. (32) (solid lines) and numerical simulations (circles) for different resetting rates r. The polarization approaches zero through algebraically damped oscillations. (Right) Long-time behavior for r = 5, after the polarization has been multiplied t θ , with θ = 4Ω2/(r… view at source ↗

discussion (0)

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Reference graph

Works this paper leans on

106 extracted references · 6 linked inside Pith

  1. [1]

    preferential relocation

    Introduction Stochastic resetting [1–6] consists of interrupting a dynamical process at random times and returning the system to a prescribed state. By introducing an additional time scale, it can qualitatively reshape the underlying dynamics, with important consequences for first-passage and search properties. These effects have been studied in diffusive...

  2. [2]

    Master equation

    Quantum resetting protocol with memory In this section, we formulate a general framework for quantum stochastic resetting with memory. We first review the reset-free unitary dynamics and conventional Poissonian resetting to a fixed state, and then extend the corresponding evolution equation to a protocol in which the reset state is sampled from the system...

  3. [3]

    (13) for a gapped quantum system

    Gapped Quantum Systems In this section, we discuss the implications of the general solution in Eq. (13) for a gapped quantum system. We consider a system described by a time-independent Hamiltonian with a discrete and nondegenerate energy spectrum, ˆH|n⟩=E n |n⟩,withE m ̸=E n for m̸=n.We further assume that the nonzero Bohr frequenciesω mn ≡E m −E n relev...

  4. [4]

    Gapless Quantum Systems We now consider quantum systems with a continuous, gapless energy spectrum. We denote the energy eigenstates by|p⟩, satisfying ˆH|p⟩=ε(p)|p⟩,⟨p|p ′⟩=δ(p−p ′).(46) The matrix elements of ˆρ r(t) in this basis areρ r(p, p′, t) =⟨p|ˆρ r(t)|p ′⟩, while the corresponding Bohr frequencies readω pp′ =ε(p)−ε(p ′).We also define the group v...

  5. [5]

    Master equation

    Conclusions and Outlook In this work, we introduced a quantum stochastic resetting protocol with memory in which, at each resetting event, the system is returned to a state visited at an earlier time selected uniformly from its entire history. This construction provides Quantum resetting with memory18 a quantum counterpart of the classical preferential re...

  6. [6]

    M. R. Evans, S. N. Majumdar,Diffusion with Stochastic Resetting, Phys. Rev. Lett.106, 160601 (2011)

  7. [7]

    M. R. Evans, S. N. Majumdar,Diffusion with optimal resetting, J. Phys. A: Math. Theor.44, 435001 (2011)

  8. [8]

    M. R. Evans, S. N. Majumdar, G. Schehr,Stochastic resetting and applications, J. Phys. A: Math. Theor.53, 193001 (2020)

  9. [9]

    Gupta, A

    S. Gupta, A. M. Jayannavar,Stochastic resetting: A (very) brief review, Front. Phys.10, 789097 (2022)

  10. [10]

    Kundu, S

    A. Kundu, S. Reuveni,Preface: stochastic resetting—theory and applications, J. Phys. A: Math. Theor.57, 060301 (2024)

  11. [11]

    T. D. Keidar, S. Meir, N. Sherf, R. Goerlich, S. Reuveni, Y. Roichman, and B. Hirshberg, Stochastic Resetting: A Non-Equilibrium Framework for Prediction, Inference and Design, arXiv:2607.16474 (2026)

  12. [12]

    Reuveni,Optimal Stochastic Restart Renders Fluctuations in First Passage Times Universal, Phys

    S. Reuveni,Optimal Stochastic Restart Renders Fluctuations in First Passage Times Universal, Phys. Rev. Lett.116, 170601 (2016)

  13. [13]

    Nagar and S

    A. Nagar and S. Gupta,Diffusion with stochastic resetting at power-law times, Phys. Rev. E93, 060102(R) (2016)

  14. [14]

    A. Pal, S. Reuveni,First Passage under Restart, Phys. Rev. Lett.118, 030603 (2017)

  15. [15]

    Chechkin, I

    A. Chechkin, I. M. Sokolov,Random Search with Resetting: A Unified Renewal Approach, Phys. Rev. Lett.121, 050601 (2018)

  16. [16]

    De Bruyne, S

    B. De Bruyne, S. N. Majumdar, and G. Schehr,Optimal Resetting Brownian Bridges via Enhanced Fluctuations, Phys. Rev. Lett.128, 200603 (2022)

  17. [17]

    A. Pal, A. Kundu, M. R. Evans,Diffusion under time-dependent resetting, J. Phys. A: Math. Theor.49, 225001 (2016). Quantum resetting with memory25

  18. [18]

    R. G. Pinsky,Diffusive Search with spatially dependent Resetting, arXiv:1805.00320 (2018)

  19. [19]

    Garc ´ ıa-Valladares, C

    G. Garc ´ ıa-Valladares, C. A. Plata, A. Prados and A. Manacorda,Optimal resetting strategies for search processes in heterogeneous environments, New J. Phys.25, 113031 (2023)

  20. [20]

    Verma, B

    R. Verma, B. Banerjee, S. Gupta, S. K. NandiResetting dynamics in a system with quenched disorder, arXiv:2604.02950 (2026)

  21. [21]

    Whitehouse, M

    J. Whitehouse, M. R. Evans, and S. N. Majumdar,Effect of partial absorption on diffusion with resetting, Phys. Rev. E87, 022118 (2013)

  22. [22]

    R. D. Schumm, P. C. Bressloff,Search processes with stochastic resetting and partially absorbing targets, J. Phys. A: Math. Theor.54, 404004 (2021)

  23. [23]

    De Bruyne, J

    B. De Bruyne, J. Randon-Furling, and S. Redner,Optimization in first-passage resetting, Phys. Rev. Lett.125, 050602 (2020)

  24. [24]

    Biswas, S

    A. Biswas, S. N. Majumdar, A. Pal,Target Search Optimization by Threshold Resetting, Phys. Rev. Lett.135, 227101 (2025)

  25. [25]

    U. Bhat, C. De Bacco and S. Redner,Stochastic search with Poisson and deterministic resetting, J. Stat. Mech. (2016) 083401

  26. [26]

    Biroli, S

    M. Biroli, S. N. Majumdar, G. Schehr,Critical number of walkers for diffusive search processes with resetting, Phys. Rev. E107, 064141 (2023)

  27. [27]

    L. N. Christophorov,Peculiarities of random walks with resetting in a one-dimensional chain, J. Phys. A: Math. Theor. 54 (2021) 015001

  28. [28]

    Barbini, L

    A. Barbini, L. Giuggioli,Lattice random walk dynamics with stochastic resetting in heterogeneous space, J. Phys. A: Math. Theor. 57, 425001 (2024)

  29. [29]

    A. K. Hartmann, S. N. Majumdar,Diffusion with stochastic resetting on a lattice, Phys. Rev. E 112, 034102 (2025)

  30. [30]

    De Bruyne and F

    B. De Bruyne and F. Mori,Resetting in stochastic optimal control, Phys. Rev. Research5, 013122

  31. [31]

    F. Mori, L. Mahadevan,Optimal switching strategies for navigation in stochastic settings, J. R. Soc. Interface22, 20240677 (2025)

  32. [32]

    Del Vecchio Del Vecchio, M

    G. Del Vecchio Del Vecchio, M. Kulkarni, S. N. Majumdar, S. Sabhapandit,Proxitaxis: An adaptive search strategy based on proximity and stochastic resetting, Phys. Rev. E113, L042101 (2026)

  33. [33]

    A. Pal, S. Kostinski, and S. Reuveni,The inspection paradox in stochastic resetting, J. Phys. A: Math. Theor.55, 021001 (2022)

  34. [34]

    Gupta, S

    S. Gupta, S. N. Majumdar, and G. Schehr,Fluctuating Interfaces Subject to Stochastic Resetting, Phys. Rev. Lett.112, 220601 (2014)

  35. [35]

    U. Basu, A. Kundu, and A. Pal,Symmetric exclusion process under stochastic resetting, Phys. Rev. E100, 032136 (2019)

  36. [36]

    Magoni, S

    M. Magoni, S. N. Majumdar, and G. Schehr,Ising model with stochastic resetting, Phys. Rev. Res. 2, 033182 (2020)

  37. [37]

    Chen and W

    Y. Chen and W. Zhong,Crossover from anomalous to normal diffusion: Ising model with stochastic resetting, Phys. Rev. Res.6, 033189 (2024)

  38. [38]

    Acharya, R

    A. Acharya, R. Majumder, and S. Gupta,Manipulating phases in many-body interacting systems with subsystem resetting, Phys. Rev. Lett.135, 127103 (2025)

  39. [39]

    Anagha V. K. and A. Nagar,Stochastic resetting in the infinite range Ising model, J. Phys. A: Math. Theor.59, 215001 (2026)

  40. [40]

    Biroli, H

    M. Biroli, H. Larralde, S. N. Majumdar, and G. Schehr,Extreme statistics and spacing distribution in a Brownian gas correlated by resetting, Phys. Rev. Lett.130, 207101 (2023)

  41. [41]

    de Mauro, M

    G. de Mauro, M. Biroli, S. N. Majumdar, and G. Schehr,Dynamically emergent correlations in Brownian particles subject to simultaneous non-Poissonian resetting protocols, Phys. Rev. E 113, 014120 (2026)

  42. [42]

    Biroli, S

    M. Biroli, S. N. Majumdar, G. Schehr,First-passage resetting gas, EPL153, 31002 (2026)

  43. [43]

    de Mauro, S

    G. de Mauro, S. N. Majumdar, G. Schehr,Effects of confinement in a Brownian gas with simultaneous stochastic resetting and dynamically emergent correlations, arXiv:2606.31634 (2026). Quantum resetting with memory26

  44. [44]

    Boyer, S

    D. Boyer, S. N. Majumdar,Emerging correlations between diffusing particles evolving via simultaneous resetting with memory, J. Phys. A: Math. Theor.59, 125001 (2026)

  45. [45]

    Biroli, S

    M. Biroli, S. N. Majumdar, G. Schehr,Resetting Dyson Brownian motion, Phys. Rev. E112, 014101 (2025)

  46. [46]

    O. Vilk, M. Assaf, and B. Meerson,Fluctuations and first-passage properties of systems of Brownian particles with reset, Phys. Rev. E106, 024117 (2022)

  47. [47]

    Meerson and O

    B. Meerson and O. Vilk,Age-structured hydrodynamics of ensembles of anomalously diffusing particles with renewal resetting, Phys. Rev. Res.8, 023103 (2026)

  48. [48]

    Vilk,Macroscopic localization and collective memory in Poisson renewal resetting, Phys

    O. Vilk,Macroscopic localization and collective memory in Poisson renewal resetting, Phys. Rev. Res.8, 023305 (2026)

  49. [49]

    Biroli, M

    M. Biroli, M. Kulkarni, S. N. Majumdar, and G. Schehr,Dynamically emergent correlations between particles in a switching harmonic trap, Phys. Rev. E109, L032106 (2024)

  50. [50]

    Sabhapandit, S

    S. Sabhapandit, S. N. Majumdar,Noninteracting particles in a harmonic trap with a stochastically driven center, J. Phys. A: Math. Theor.57, 335003 (2024)

  51. [51]

    Mesquita, S

    N. Mesquita, S. N. Majumdar, S. Sabhapandit,Dynamically emergent correlations in a Brownian gas with diffusing diffusivity, J. Stat. Mech.2025, 103207 (2025)

  52. [52]

    Biroli, H

    M. Biroli, H. Larralde, S. N. Majumdar, G. Schehr,Exact extreme, order, and sum statistics in a class of strongly correlated systems, Phys. Rev. E109, 014101 (2024)

  53. [53]

    Galla,A diffusion approximation for systems with frequent weak resetting, arXiv:2602.21635 (2026)

    T. Galla,A diffusion approximation for systems with frequent weak resetting, arXiv:2602.21635 (2026)

  54. [54]

    K. S. Olsen,Information-fluctuation inequalities for collective response, arXiv:2603.01852 (2026)

  55. [55]

    de Mauro, S

    G. de Mauro, S. N. Majumdar, and G. Schehr,Tuning the strength of emergent correlations in a Brownian gas via batch resetting, arXiv:2601.20077 (2026)

  56. [56]

    Besga, A

    B. Besga, A. Bovon, A. Petrosyan, S. N. Majumdar, and S. Ciliberto,Optimal mean first-passage time for a Brownian searcher subjected to resetting: Experimental and theoretical results, Phys. Rev. Res.2, 032029(R) (2020)

  57. [57]

    Faisant, B

    F. Faisant, B. Besga, A. Petrosyan, S. Ciliberto, and S. N. Majumdar,Optimal mean first-passage time of a Brownian searcher with resetting in one and two dimensions: experiments, theory and numerical tests, J. Stat. Mech.2021, 113203 (2021)

  58. [58]

    Tal-Friedman, A

    O. Tal-Friedman, A. Pal, A. Sekhon, S. Reuveni, and Y. Roichman,Experimental realization of diffusion with stochastic resetting, J. Phys. Chem. Lett.11, 7350–7355 (2020)

  59. [59]

    Ginot and C

    F. Ginot and C. Bechinger,Experimental investigation of stochastic resetting in a non-Markovian environment, New J. Phys.28, 015001 (2026)

  60. [60]

    Vatash and Y

    R. Vatash and Y. Roichman,Many-body colloidal dynamics under stochastic resetting: Competing effects of particle interactions on the steady-state distribution, Phys. Rev. Res.7, L032020 (2025)

  61. [61]

    Biroli, S

    M. Biroli, S. Ciliberto, M. Kulkarni, S. N. Majumdar, A. Petrosyan, and G. Schehr,Experimental evidence for strong emergent correlations between particles in a switching trap, Phys. Rev. Lett. 137, 037102 (2026)

  62. [62]

    S. N. Majumdar and G. Schehr,Dynamically Emergent Correlations, EPL155, 11001 (2026)

  63. [63]

    Mukherjee, K

    B. Mukherjee, K. Sengupta, S. N. Majumdar,Quantum dynamics with stochastic reset, Phys. Rev. B98, 104309 (2018)

  64. [64]

    D. C. Rose, H. Touchette, I. Lesanovsky, J. P. Garrahan,Spectral properties of simple classical and quantum reset processes, Phys. Rev. E98, 022129 (2018)

  65. [65]

    Perfetto, F

    G. Perfetto, F. Carollo, M. Magoni, I. Lesanovsky,Designing nonequilibrium states of quantum matter through stochastic resetting, Phys. Rev. B104, L180302 (2021)

  66. [66]

    Navascu´ es,Resetting uncontrolled quantum systems, Phys

    M. Navascu´ es,Resetting uncontrolled quantum systems, Phys. Rev. X8, 031008 (2018)

  67. [67]

    Wald and L

    S. Wald and L. B¨ ottcher,From classical to quantum walks with stochastic resetting on networks, Phys. Rev. E103, 012122 (2021)

  68. [68]

    D. Das, S. Dattagupta, and S. Gupta,Quantum unitary evolution interspersed with repeated non- unitary interactions at random times: The method of stochastic Liouville equation, and two examples of interactions in the context of a tight-binding chain, J. Stat. Mech.2022, 053101 Quantum resetting with memory27 (2022)

  69. [69]

    Acharya and S

    A. Acharya and S. Gupta,Tight-binding model subject to conditional resets at random times, Phys. Rev. E108, 064125 (2023)

  70. [70]

    F. J. Sevilla and A. Vald´ es-Hern´ andez,Dynamics of closed quantum systems under stochastic resetting, J. Phys. A: Math. Theor.56, 034001 (2023)

  71. [71]

    Alcalde Puente, F

    D. Alcalde Puente, F. Motzoi, T. Calarco, G. Morigi, M. Rizzi,Quantum state preparation via engineered ancilla resetting, Quantum8, 1299 (2024)

  72. [72]

    S. Wald, L. H. Yao, T. Platini, C. Hooley, and F. Carollo,Stochastic resetting in discrete-time quantum dynamics: Steady states and correlations in few-qubit systems, Quantum9, 1742 (2025)

  73. [73]

    Perfetto, F

    G. Perfetto, F. Carollo, and I. Lesanovsky,Thermodynamics of quantum-jump trajectories of open quantum systems subject to stochastic resetting, SciPost Phys.13, 079 (2022)

  74. [74]

    Carollo, I

    F. Carollo, I. Lesanovsky, and J. P. Garrahan,Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes, Phys. Rev. E109, 044129 (2024)

  75. [75]

    Solanki, I

    P. Solanki, I. Lesanovsky, and G. Perfetto,Universal relaxation speedup in open quantum systems through transient conditional and unconditional resetting, arXiv:2512.10005 [quant-ph] (2025)

  76. [76]

    Kulkarni, S

    M. Kulkarni, S. N. Majumdar,First detection probability in quantum resetting via random projective measurements, J. Phys. A: Math. Theor.56, 385003 (2023)

  77. [77]

    R. Yin, E. Barkai,Restart expedites quantum walk hitting times, Phys. Rev. Lett.130, 050802 (2023)

  78. [78]

    R. Yin, Q. Wang, and E. Barkai,Instability in the quantum restart problem, Phys. Rev. E109, 064150 (2024)

  79. [79]

    R. Yin, Q. Wang, S. Tornow, E. Barkai,Restart uncertainty relation for monitored quantum dynamics, Proc. Natl. Acad. Sci.122, e2402912121 (2025)

  80. [80]

    E. C. King, S. Roy, F. Mattiotti, M. Kiefer-Emmanouilidis, M. Bl¨ aser, G. Morigi,Time complexity of a monitored quantum search with resetting, arXiv:2601.20560 [quant-ph] (2026)

Showing first 80 references.