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Classical representation of the dynamics of quantum spin chains

by Tony Jin

Submission summary

Authors (as registered SciPost users): Tony Jin
Submission information
Preprint Link: https://arxiv.org/abs/2502.10502v2  (pdf)
Date submitted: Sept. 16, 2025, 2:52 p.m.
Submitted by: Tony Jin
Submitted to: SciPost Physics
Ontological classification
Academic field: Physics
Specialties:
  • Condensed Matter Physics - Theory
  • Quantum Physics
  • Statistical and Soft Matter Physics
Approach: Theoretical

Abstract

Since the advent of quantum mechanics, classical probability interpretations have faced significant challenges. A notable issue arises with the emergence of negative probabilities when attempting to define the joint probability of non-commutative observables. In this work, we propose a resolution to this dilemma for quantum spin chains, by introducing an exact representation of their dynamics in terms of classical continuous-time Markov chains (CTMCs). These CTMCs effectively model the creation, annihilation, and propagation of pairs of classical particles and antiparticles. The quantum dynamics then emerges by averaging over various realizations of this classical process.

Author indications on fulfilling journal expectations

  • Provide a novel and synergetic link between different research areas.
  • Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
  • Detail a groundbreaking theoretical/experimental/computational discovery
  • Present a breakthrough on a previously-identified and long-standing research stumbling block
Current status:
In refereeing

Reports on this Submission

Report #1 by Anonymous (Referee 1) on 2026-2-1 (Invited Report)

Strengths

1) The derivations are clearly presented and well motivated, facilitating understanding of the proposed construction.

2) Several numerical examples are convincing and support the main theoretical conclusions.

3) The framework is original and provides an interesting new angle on classical representations of quantum dynamics.

Weaknesses

The main weakness is the absence of a concrete demonstration or model where the proposed framework provides a clear practical benefit, as well as a lack of evidence pointing to a tangible numerical advantage.

Report

The author introduces an approach that allows for a classical stochastic representation of the dynamics of a highly interacting quantum systems. This work builds on recent ideas by Völlering [6], which resolve the issue of non-physical negative probabilities at the cost of a doubling of the Hilbert space. While this representation formally avoids a sign problem, it does not render the problem efficiently simulatable. In particular, the author demonstrates an exponential growth in the number of particles and quasiparticles, which leads to an exponential increase in the effective Hilbert-space dimension and consequently poses a severe challenge for Monte Carlo sampling.

Overall, the article introduces a novel and promising framework for treating quantum dynamics and is presented in a clear and concise manner. The work clearly merits publication in SciPost.

Requested changes

1) To the best of my understanding, Eq.~(8) violates the conservation of the total probability $\sum\limits_{C} (p_C^{{\bullet}}+p_C^{{\circ}})$. Furthermore, the growth of the total probability contrasts with a physical Markovian dynamics and, to the best of my understanding, leads to a loss of numerical precision with the growth of the total number of particles.

As this is the main equation derived in this article, I suggest emphasizing this fact directly and providing a summary of the resulting dynamics, clearly separating its physical and non-physical properties.

2) I believe the article would benefit from a more careful discussion of the error estimate $\Delta \langle\hat{O}(t)\rangle \propto \frac{N_{tot}}{\sqrt{M}}$. In particular, while the appearance of the factor $N_{\mathrm{tot}}$ is intuitively clear, its precise origin is not fully obvious, and a more carefully motivated derivation would be helpful.

Recommendation

Publish (easily meets expectations and criteria for this Journal; among top 50%)

  • validity: high
  • significance: ok
  • originality: high
  • clarity: high
  • formatting: excellent
  • grammar: excellent

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