Quantum Many-Body Mpemba Effect through Ruelle-Pollicott Resonances

arXiv:2603.11788 · cond-mat.stat-mech, cond-mat.quant-gas, quant-ph · Submitted 2026-03-12 · Read on arXiv

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Introduction to the show: ident: Quantum Radio. Generated commentary on the latest quantum physics and condensed matter papers.

Kai: Today's paper: "Quantum Many-Body Mpemba Effect through Ruelle-Pollicott Resonances".

Mira: The gist:

Kai: First, who's behind it and why it matters.

Paper summary: Mira: So thinking about the whole paper's contribution, they’ve essentially provided a general framework for understanding this quantum Mpemba effect in closed many-body chaotic systems by using Ruelle-Pollicott resonances as their lens on local subsystem equilibration.

Kai: The main point is that they show the QME happens when the initial state farther from equilibrium has a smaller overlap for those slowly decaying RP resonant modes, and they also uncovered strong QME via complete translation-symmetry breaking.

Lev: For us, it means if we can engineer an initial state that breaks translational symmetry in this specific way, we can induce a much faster relaxation rate than just relying on the standard overlap with the slowest mode.

Kai: It’s important because it connects these microscopic dynamics to experimentally accessible systems like the kicked Ising chain simulations and even points toward how to analyze things like quantum Fisher information in those systems.

Mira: The authors are suggesting this approach is useful not just for explaining QME, but also for making principled predictions about the late-time behavior of various information-theoretic quantities on page three <ref:2603.11788#pg1>.

Lev: The limitation they flag is that their derivation relies on a finite cutoff r in equation (two), and the relation becomes exact only in the limit r to infinity, which is a point we have to consider when mapping this to real hardware constraints <ref:2603.11788#pg1>.

Kai: So, in short, "Quantum Many-Body Mpemba Effect through Ruelle-Pollicott Resonances" gives us a way to use spectral decomposition of local subsystems to explain the quantum Mpemba effect in chaotic many-body systems on page one <ref:2603.11788#pg1,Quantum Many-Body Mpemba Effect through>.

Conclusion: Kai: So we’ve looked at how they use Ruelle-Pollicott resonances to explain this quantum Mpemba effect in chaotic systems, and now we need to talk about what the authors actually named their paper: "Quantum Many-Body Mpemba Effect through Ruelle-Pollicott Resonances."

Mira: That title tells you exactly what they’re doing, connecting the Mpemba effect—that weird relaxation anomaly—to these mathematical resonances that describe chaos. It sets up this picture where the structure of chaotic dynamics dictates how fast local systems reach equilibrium.

Lev: From an error-correction standpoint, I’m looking at how this framework scales; if you have a real quantum system with a large number of degrees of freedom, the complexity of tracking those resonances gets really tough.

Kai: Right, Lev, so what’s the practical implication for building something? It seems they are saying that by understanding these underlying mathematical modes—these RP resonances—we can predict how we need to set up our initial state to get fast relaxation.

Mira: Exactly, and they suggest a specific way: if your initial state doesn't overlap much with the slowest decaying resonant mode, you’re going to see that Mpemba effect happen. It’s about controlling the starting point in the chaotic landscape.

Lev: But we have to remember those RP resonances are derived from finite-size approximations, so translating that exact result onto a hardware platform with limited resources is where the real engineering challenge lies.

Kai: That’s right, and they do show how this applies to things like the kicked Ising chain simulations, which gives us some concrete numbers to check against what we’re building in our own experiments.

Mira: And their work also opens up a new direction for analyzing information theory—they say this formalism lets us look at quantum Fisher information or Rényi entanglement entropies in these systems.

Lev: That sounds like a big leap; connecting these dynamics to those specific quantities gives us something more fundamental than just observing the relaxation curve itself.

Kai: So, it’s a framework that takes chaotic dynamics, turns them into spectral modes via Ruelle-Pollicott resonances, and lets us predict how initial conditions affect the speed of quantum thermalization.

Mira: It’s about moving from just seeing an anomaly to understanding the underlying mechanism dictated by the system's mathematical structure.

Lev: The next thing we need to look at is how robust these findings are when you move away from closed systems and into open, noisy environments where dissipation is constantly happening.

Department of Engineering Science, The University of Electro-Communications · Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team · RIKEN Pioneering Research Institute (PRI) · RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)

cond-mat.stat-mech, cond-mat.quant-gas, quant-ph

Submitted: 2026-03-12

Updated: 2026-10-15

Comments: 11+16 pages, 4+9 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Importance score: 83/100

The gist: The gist: The authors provide a general framework for understanding the quantum Mpemba effect (QME) in closed quantum many-body chaotic systems by reformulating local subsystem equilibration in terms

Key concepts

Quantum Mpemba Effect (QME)
An anomalous relaxation phenomenon where an initial quantum state farther from equilibrium reaches equilibrium faster than a closer state. This effect is studied here to provide a microscopic explanation for this non-intuitive behavior in closed quantum many-body systems.
Ruelle-Pollicott (RP) Resonances
These are mathematical tools used to characterize the relaxation of local subsystems in chaotic systems. They help describe how quickly a system approaches equilibrium by decomposing the density matrix into modes that govern its time evolution.
Translational Symmetry Breaking
This refers to initial states that completely lose their translational symmetry. When this happens, the late-time relaxation law changes fundamentally, allowing for a 'strong QME' where which state relaxes faster depends on this symmetry change rather than just overlap with the slowest mode.

Terminology

Summary

The gist: The authors provide a general framework for understanding the quantum Mpemba effect (QME) in closed quantum many-body chaotic systems by reformulating local subsystem equilibration in terms of Ruelle-Pollicott (RP) resonances, showing that suppressing the initial-state overlap with dominant RP resonant modes accelerates subsystem equilibration and yields the QME The gist.

The Mpemba Effect and Quantum Analogue

The Mpemba effect is an anomalous relaxation phenomenon where an initial state farther from equilibrium can approach it faster than another initial state prepared closer to equilibrium in quantum systems, termed the quantum Mpemba effect (QME) This QME provides a microscopic perspective on the anomalous relaxation and has practical relevance for accelerated state preparation and cooling protocols in quantum platforms The universal origin of the Mpemba effect remains under debate due to its very sensitivity to experimental setup

Mechanism via Ruelle-Pollicott Resonances

The authors characterize local equilibration of the reduced density matrix in terms of Ruelle-Pollicott (RP) resonances, originally developed for classical chaos and extended to quantum many-body systems The QME occurs when the initial state farther from equilibrium has a smaller overlap for slowly decaying RP resonant modes In the thermodynamic limit L → ∞, the reduced density matrix is asymptotically expanded in terms of RP resonances as ρs(t) ≃ I/2l + Xα Z π−πdk2πλtα,k Tr[ρ(0)V Rα,k]ϱα,k The QME occurs when the global initial state of the system that is initially closer to equilibrium has a larger weight c1,0 of the dominant RP resonance at k = 0

Strong QME via Translational Symmetry Breaking

A novel type of strong QME can occur via complete translation-symmetry breaking of initial states When the initial state completely breaks translational symmetry, the late-time relaxation law is qualitatively modified, so which state relaxes faster is solely governed by this modified relaxation law This complete translation-symmetry breaking emerges for novel yet experimentally relevant initial states constructed from “Legendre sequence”, well-known concept in number theory When translational symmetry is absent, the overlap function Tr[ρ(0)V Rα,k] exhibits a continuum of momenta instead of discrete delta-function peaks The large-time behaviour is obtained by evaluating the integral over k in equation (2) via the method of steepest descent This leads to an algebraic prefactor t−1/2 compared to the purely exponential form in equation (3)

Application to Kicked Ising Chain

The framework is applied to the chaotic kicked Ising chain, where RP resonances are studied, and it is shown that the QME occurs when a pair of initial states with angles θi (i = I,II) satisfy two conditions: (i) θI − π/2 < θII − π/2 and (ii) θI < θII Numerical simulations demonstrate that these trends imply the occurrence of the QME for a pair of initial states with angles θi (i = I,II) These numerical results agree well with the asymptotic form predicted by equation (10) at late times

Methodology and Extensions

The analysis relies on decomposing the whole system into a local subsystem S of finite length l and its complement E, leading to the reduced density matrix ρs(t) = TrE[ρ(t)] = Utρs(0) The RP resonances are obtained by introducing a cutoff r on operator size by defining a truncated propagator Ek,r = Πk,rEkΠk,r The method extends to Markovian open quantum systems where the mechanism is understood from the spectral decomposition of the corresponding Liouvillian The authors also provide an asymptotic expansion of the reduced density matrix in terms of RP resonances for both translationally invariant and completely broken symmetry cases

Conclusion and Outlook

The QME in closed quantum many-body chaotic systems can be understood within the framework of RP resonances, where the QME occurs when the state initially farther from equilibrium carries a smaller weight of the dominant (slowest) resonant mode Complete breaking of translational symmetry can induce a strong QME, where which initial state equilibrates faster is dictated by this change in the asymptotic relaxation behavior rather than by a mere difference in their overlaps with the same slowest mode The predictions agree with numerical simulations of the kicked Ising chain at experimentally accessible sizes This formalism provides a route to analyse late-time local relaxation beyond the QME by giving access to the reduced density matrix rather than a particular observable It enables principled predictions for the late-time behaviour of nonlinear functionals of density matrices, such as quantum Fisher information, R´enyi entanglement entropies, and other information-theoretic quantities The authors suggest extending this framework to continuous-time Hamiltonian dynamics and long-range interacting systems

Methods Details

The asymptotic analysis shows that when Tr[ρ(0)V Rα,q] is non-zero, the equation reduces to equation (9) in the main text For the kicked Ising chain, this leads to an enhanced power ∼ t−(1+γ)/2 with γ > 0 when the initial state satisfies Tr[ρ(0)V Rα,k] = 0 for k ∈ Σα Such an initial state can be constructed from a de Bruijn sequence [2] This construction suppresses Tr[ρ(0)V Rα,k] and thereby realizes γ ≥ 1 approximately The time evolution of the Bures distance D(t) for the dynamics starting from the initial state (sm-12) exhibits a decay consistent with D(t) = O(λ1,0 t−1) This corresponds to γ = 1, i.e., a faster approach to equilibrium than in the γ = 0 cases discussed in the main text The data show that curves corresponding to different values of θ intersect at certain times, signaling the occurrence of the QME

Data Availability and Acknowledgements

The data that support the plots within this paper are provided in the Source Data file The computer codes used to generate the results that are reported in this paper are available from the authors upon reasonable request S. Y. was supported by Grant-in-Aid for Young Scientists (Start-up) No. 25K23355 and Institute for Advanced Science, University of Electro-Communications R. H. was supported by JSPS KAKENHI Grant No. JP24K16982 and by JST ERATO Grant Number JPMJER2302, Japan S.Y and R.H contributed to developing the theory, interpreting the results, and writing the manuscript The authors declare no competing interests

References

[1] Aristotle, Meteorologica (Clarendon Press, Oxford, 1923) [2] E. B. Mpemba and D. G. Osborne, Cool?, Physics Education 4, 172 (1969) [3] M. Vynnycky and S. L. Mitchell, Evaporative cooling and the mpemba effect, Heat and Mass Transfer 46, 881 (2010) [4] M. Vynnycky and N. Maeno, Axisymmetric natural convection-driven evaporation of hot water and the mpemba effect, International Journal of Heat and Mass Transfer 55, 7297 (2012) [5] M. Vynnycky and S. Kimura, Can natural convection alone explain the mpemba effect?, International Journal of Heat and Mass Transfer 80, 243 (2015) [6] B. Wojciechowski, I. Owczarek, and G. Bednarz, Freezing of aqueous solutions containing gases, Crystal Research and Technology 23, 843 (1988) [7] W. B. Zimmerman, In search of a mpemba effect protocol: Some hot water does cool and freeze faster than cold, Chemical Engineering Science 247, 117043 (2022) [8] D. Auerbach, Supercooling and the mpemba effect: When hot water freezes quicker than cold, American Journal of Physics 63, 882 (1995) [9] H. C. Burridge and P. F. Linden, Questioning the mpemba effect: hot water does not cool more quickly than cold, Scientific Reports 6, 37665 (2016) [10] H. C. Burridge and O.

Improvements for AI systems

  1. Accelerated State Preparation in Chaotic Systems The improved AI system can achieve accelerated state preparation protocols by leveraging initial states that completely break translational symmetry, as this leads to a relaxation law where which state relaxes faster is solely governed by this modified relaxation law.

  2. Universal Framework for Quantum Relaxation Analysis The system can be equipped with a universal mechanism to understand the QME in closed quantum many-body chaotic systems by characterizing local equilibration in terms of Ruelle-Pollicott (RP) resonances, which provides a microscopic perspective on the anomalous relaxation.

  3. Predictive Modeling of Non-Markovian Dynamics The AI system can predict the late-time behavior of nonlinear functionals like quantum Fisher information, R´enyi entanglement entropies, and other information-theoretic quantities, enabling principled predictions beyond tracking a single observable.

  4. Design of Number-Theoretic Initial States The system can generate experimentally relevant initial states using concepts from number theory, such as those inspired by number theory or constructed from Legendre sequence, to specifically probe the strong QME and realize faster equilibration rates.

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