论文标题

在低温下近似量子分区功能的有效算法

Efficient Algorithms for Approximating Quantum Partition Functions at Low Temperature

论文作者

Helmuth, Tyler, Mann, Ryan L.

论文摘要

我们为低温下的一类量子自旋系统的分区函数建立了有效的近似算法,可以将其视为经典自旋系统的稳定量子扰动。我们的算法基于将由于Borgs,Kotecký和Ueltschi与Helmuth,Perkins和Regts和Borgs等人开发的算法框架相结合的这种类型的量子自旋系统的轮廓表示。

We establish an efficient approximation algorithm for the partition functions of a class of quantum spin systems at low temperature, which can be viewed as stable quantum perturbations of classical spin systems. Our algorithm is based on combining the contour representation of quantum spin systems of this type due to Borgs, Kotecký, and Ueltschi with the algorithmic framework developed by Helmuth, Perkins, and Regts, and Borgs et al.

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