格拉斯曼时变矩阵积算子:费米子路径积分模拟的高效数值方法。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Xiansong Xu, Chu Guo, Ruofan Chen
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引用次数: 0

摘要

由于与结构化环境耦合时的非微扰性和非马尔可夫性,为开放量子系统开发数值精确求解器是一项具有挑战性的任务。费曼-弗农影响函数方法是研究开放量子系统动力学的强大分析工具。事实证明,影响函数的数值处理方法,包括准绝热传播者技术和基于张量网络的时间演化矩阵乘积算子方法,在研究具有玻色环境的开放量子系统时非常有效。然而,费米子路径积分的数值实现受到了格拉斯曼代数的影响。在这项工作中,我们详细介绍了费米开放量子系统的格拉斯曼时间演化矩阵乘算子方法。我们特别介绍了处理格拉斯曼路径积分的格拉斯曼张量、有符号矩阵积算子和格拉斯曼矩阵积状态等概念。以单轨道安德森杂质模型为例,我们回顾了结构化费米子环境的实时非平衡动力学、实时和虚时平衡动力学的数值基准,以及它作为杂质求解器的应用。这些基准表明,我们的方法是研究强耦合物理和非马尔可夫动力学的一种稳健而有前途的数值方法。它还可以作为另一种杂质求解器,用动态均场理论研究强相关量子物质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grassmann time-evolving matrix product operators: An efficient numerical approach for fermionic path integral simulations.

Developing numerical exact solvers for open quantum systems is a challenging task due to the non-perturbative and non-Markovian nature when coupling to structured environments. The Feynman-Vernon influence functional approach is a powerful analytical tool to study the dynamics of open quantum systems. Numerical treatments of the influence functional including the quasi-adiabatic propagator technique and the tensor-network-based time-evolving matrix product operator method have proven to be efficient in studying open quantum systems with bosonic environments. However, the numerical implementation of the fermionic path integral suffers from the Grassmann algebra involved. In this work, we present a detailed introduction to the Grassmann time-evolving matrix product operator method for fermionic open quantum systems. In particular, we introduce the concepts of Grassmann tensor, signed matrix product operator, and Grassmann matrix product state to handle the Grassmann path integral. Using the single-orbital Anderson impurity model as an example, we review the numerical benchmarks for structured fermionic environments for real-time nonequilibrium dynamics, real-time and imaginary-time equilibration dynamics, and its application as an impurity solver. These benchmarks show that our method is a robust and promising numerical approach to study strong coupling physics and non-Markovian dynamics. It can also serve as an alternative impurity solver to study strongly correlated quantum matter with dynamical mean-field theory.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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