Diffusion constants from the recursion method

IF 3.7 2区 物理与天体物理 Q1 Physics and Astronomy
Jiaozi Wang, Mats H. Lamann, Robin Steinigeweg, Jochen Gemmer
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引用次数: 0

Abstract

Understanding the transport behavior of quantum many-body systems constitutes an important physical endeavor, both experimentally and theoretically. While a reliable classification into normal and anomalous dynamics is known to be notoriously difficult for a given microscopic model, even the seemingly simpler evaluation of transport coefficients in diffusive systems continues to be a hard task in practice. This fact has motivated the development and application of various sophisticated methods and is also the main issue of this paper. We particularly take a barely used strategy, which is based on the recursion method, and demonstrate that this strategy allows for accurate calculation of diffusion constants for different paradigmatic examples, including magnetization transport in nonintegrable spin-1/2 chains and ladders as well as energy transport in the mixed-field Ising model in one dimension.

Abstract Image

递推法得出的扩散常数
理解量子多体系统的输运行为是一项重要的物理工作,无论是在实验上还是在理论上。众所周知,对于一个给定的微观模型来说,将其可靠地划分为正常动力学和反常动力学是非常困难的,而在实践中,即使是看似简单的扩散系统中的输运系数评估也仍然是一项艰巨的任务。这一事实推动了各种复杂方法的开发和应用,也是本文的主要议题。我们特别采用了一种很少使用的策略,即基于递推法的方法,并证明这种策略可以精确计算不同范例的扩散常数,包括不可整合自旋-1/2 链和梯子中的磁化输运,以及一维混合场伊辛模型中的能量输运。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Review B
Physical Review B 物理-物理:凝聚态物理
CiteScore
6.70
自引率
32.40%
发文量
0
审稿时长
3.0 months
期刊介绍: Physical Review B (PRB) is the world’s largest dedicated physics journal, publishing approximately 100 new, high-quality papers each week. The most highly cited journal in condensed matter physics, PRB provides outstanding depth and breadth of coverage, combined with unrivaled context and background for ongoing research by scientists worldwide. PRB covers the full range of condensed matter, materials physics, and related subfields, including: -Structure and phase transitions -Ferroelectrics and multiferroics -Disordered systems and alloys -Magnetism -Superconductivity -Electronic structure, photonics, and metamaterials -Semiconductors and mesoscopic systems -Surfaces, nanoscience, and two-dimensional materials -Topological states of matter
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