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Locally accurate matrix product approximation to thermal states

Published 7 Jun 2021 in quant-ph, cond-mat.stat-mech, cond-mat.str-el, math-ph, and math.MP | (2106.03854v2)

Abstract: In one-dimensional quantum systems with short-range interactions, a set of leading numerical methods is based on matrix product states, whose bond dimension determines the amount of computational resources required by these methods. We prove that a thermal state at constant inverse temperature $\beta$ has a matrix product representation with bond dimension $e{\tilde O(\sqrt{\beta\log(1/\epsilon)})}$ such that all local properties are approximated to accuracy $\epsilon$. This justifies the common practice of using a constant bond dimension in the numerical simulation of thermal properties.

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