量子蒙特卡罗及其在凝聚态和温稠密物质中的应用

doi:10.19596/j.cnki.1001-246x.8974

摘要/Abstract

摘要：

对量子蒙特卡罗方法的发展历程和几类典型的量子蒙特卡罗方法进行了详细介绍。总结分析了其在凝聚态物质系统的输运、磁性、超导和热力学性质等方面的研究成果, 以及在温稠密物质方面的最新研究进展。最后对量子蒙特卡罗方法的发展前景进行展望。

关键词: 量子蒙特卡罗, 关联电子系统, 温稠密物质, 符号问题, 机器学习

Abstract:

This paper firstly introduces the development of quantum Monte Carlo and several types of typical quantum Monte Carlo methods in detail, and then summarizes the recent researches of condensed and warm dense matter systems, including transport, magnetism, superconductivity and thermodynamic properties. Finally, the development prospect of quantum Monte Carlo methods is discussed.

Key words: quantum Monte Carlo, correlated electron systems, warm dense matters, sign problem, machine learning

马天星, 郭婷, 黄忠兵, 林海青. 量子蒙特卡罗及其在凝聚态和温稠密物质中的应用[J]. 计算物理, 2024, 41(6): 701-716.

Tianxing MA, Ting GUO, Zhongbing HUANG, Haiqing LIN. Quantum Monte Carlo and Its Applications in Condensed and Warm Dense Matters[J]. Chinese Journal of Computational Physics, 2024, 41(6): 701-716.

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