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This research establishes rigorous bounds on the rapid mixing of quasi-local quantum Gibbs samplers for one-dimensional spin chains at any finite temperature, achieving logarithmic convergence times. By utilizing Petz recovery maps and bounding distances via quantum Wasserstein metrics, the study provides polynomial-depth circuits to prepare these states efficiently. These theoretical advances offer a robust framework for analyzing thermalization in quantum systems and designing practical quantum simulation algorithms.
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Rapid mixing of quantum spin chains at any finite temperature

arXiv2 min read

arXiv:2610.01190v1 Announce Type: new Abstract: We prove that a quasi-local quantum Gibbs sampler rapidly mixes to the Gibbs state of any 1D finite-range Hamiltonian at all finite temperatures in $\mathcal{O}\left(\log (n/\varepsilon)\right)$ time. Each update traces out a contiguous block of constant length and reconstructs it using the Petz recovery map, following early proposals for quantum heat-bath Gibbs samplers by Kastoryano and Brand\~ao~\cite{kastoryano2016quantum}. Our proof directly bounds the distance between the updated state and the target Gibbs state using quantum Wasserstein distance of order $1$. We further provide $\mathcal{O}(\text{polylog}(n/\varepsilon))$ depth of quantum circuits to prepare these Gibbs states. We hope these techniques will facilitate the analysis and design of other Gibbs samplers.

Abstract:We prove that a quasi-local quantum Gibbs sampler rapidly mixes to the Gibbs state of any 1D finite-range Hamiltonian at all finite temperatures in $\mathcal{O}\left(\log (n/\varepsilon)\right)$ time. Each update traces out a contiguous block of constant length and reconstructs it using the Petz recovery map, following early proposals for quantum heat-bath Gibbs samplers by Kastoryano and Brandão~\cite{kastoryano2016quantum}. Our proof directly bounds the distance between the updated state and the target Gibbs state using quantum Wasserstein distance of order $1$. We further provide $\mathcal{O}(\text{polylog}(n/\varepsilon))$ depth of quantum circuits to prepare these Gibbs states. We hope these techniques will facilitate the analysis and design of other Gibbs samplers.

Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech); Mathematical Physics (math-ph)

arXiv:2610.01190 [quant-ph]

(or arXiv:2610.01190v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.01190 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 206 words

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