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A Dobrushin condition for quantum Markov chains: Rapid mixing and conditional mutual information at high temperature

Published: October 9, 2025 | arXiv ID: 2510.08542v1

By: Ainesh Bakshi , Allen Liu , Ankur Moitra and more

BigTech Affiliations: Massachusetts Institute of Technology University of California, Berkeley

Potential Business Impact:

Makes quantum computers understand their own behavior.

Business Areas:
Quantum Computing Science and Engineering

A central challenge in quantum physics is to understand the structural properties of many-body systems, both in equilibrium and out of equilibrium. For classical systems, we have a unified perspective which connects structural properties of systems at thermal equilibrium to the Markov chain dynamics that mix to them. We lack such a perspective for quantum systems: there is no framework to translate the quantitative convergence of the Markovian evolution into strong structural consequences. We develop a general framework that brings the breadth and flexibility of the classical theory to quantum Gibbs states at high temperature. At its core is a natural quantum analog of a Dobrushin condition; whenever this condition holds, a concise path-coupling argument proves rapid mixing for the corresponding Markovian evolution. The same machinery bridges dynamic and structural properties: rapid mixing yields exponential decay of conditional mutual information (CMI) without restrictions on the size of the probed subsystems, resolving a central question in the theory of open quantum systems. Our key technical insight is an optimal transport viewpoint which couples quantum dynamics to a linear differential equation, enabling precise control over how local deviations from equilibrium propagate to distant sites.

Country of Origin
🇺🇸 United States

Page Count
59 pages

Category
Physics:
Quantum Physics