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非马尔可夫费米子量子耗散的随机表示。

Stochastic Representation of Non-Markovian Fermionic Quantum Dissipation.

机构信息

Hefei National Laboratory for Physical Sciences at the Microscale & Synergetic Innovation Center of Quantum Information and Quantum Physics & CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei, Anhui 230026, China.

Department of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, Michigan 48202, USA.

出版信息

Phys Rev Lett. 2019 Aug 2;123(5):050601. doi: 10.1103/PhysRevLett.123.050601.

Abstract

Quantum Brownian motion plays a fundamental role in many areas of modern physics. In the path-integral formulation, environmental fluctuations can be characterized by auxiliary stochastic fields. Intriguingly, for fermionic environments the stochastic fields must be Grassmann valued so as to memorize the order of the random forces exerted on the system. Such nonclassical fields cannot be represented by conventional means. We propose a strategy to map the Grassmann-number fields to conventional c-number noises and a set of quantized pseudolevels. The resulting stochastic equation of motion (SEOM) enables direct stochastic simulation of the fermionic dissipative dynamics. The SEOM gives exact physical observables of noninteracting systems, and yields accurate approximate results for interacting systems. The practicality and accuracy of the proposed strategy and the SEOM are exemplified by numerical studies conducted on a single-impurity Anderson model.

摘要

量子布朗运动在现代物理学的许多领域中都起着基础性的作用。在路径积分表述中,环境涨落可以用辅助随机场来描述。有趣的是,对于费米子环境,随机场必须是 Grassmann 值,以便记录系统上随机力的施加顺序。这种非经典场不能用传统方法来表示。我们提出了一种将 Grassmann 数场映射到常规 c 数噪声和一组量子化赝能级的策略。由此产生的随机运动方程(SEOM)能够直接对费米子耗散动力学进行随机模拟。SEOM 给出了非相互作用系统的精确物理可观测量,并为相互作用系统提供了准确的近似结果。通过对单杂质安德森模型进行的数值研究,说明了所提出的策略和 SEOM 的实用性和准确性。

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