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arXiv 2201.05529quant-phcond-mat.mes-hall
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非马尔可夫开放量子系统链的张量网络模拟

Tensor network simulation of chains of non-Markovian open quantum systems

Gerald E. Fux, Dainius Kilda, Brendon W. Lovett, Jonathan Keeling

AI总结:

本文结合过程张量与TEBD张量网络方法,提出可模拟强耦合、非马尔可夫环境下量子链动力学及多时间关联的通用数值框架,并通过XYZ与XY链热化和扩散示例验证其能力。

摘要:

我们提出了一种通用数值方法,用于计算量子系统链的动力学和多时间关联函数,其中每个系统都可能与结构化环境发生强耦合。该方法将适用于一般(可能是非马尔可夫的)开放量子系统的过程张量形式体系,与用于一维链的时间演化块消减(TEBD)相结合。它系统性地降低了源于系统—环境关联的数值复杂度,然后再将这些关联纳入完整的多体问题,从而使广泛的应用在数值上变得可行。我们通过研究两个示例来说明该方法的能力。首先,我们研究了具有强耦合热引线的短XYZ海森堡链中单个自旋的热化。我们的结果证实了该链在耦合到单个热库时会完全热化,并揭示了当该链置于热库和冷库之间时,在低频、中频和高频区域存在不同的有效温度。其次,我们研究了更长的XY链在每个位点都耦合到其自身热库时的扩散动力学。

英文摘要:

We introduce a general numerical method to compute dynamics and multi-time correlations of chains of quantum systems, where each system may couple strongly to a structured environment. The method combines the process tensor formalism for general (possibly non-Markovian) open quantum systems with time evolving block decimation (TEBD) for 1D chains. It systematically reduces the numerical complexity originating from system-environment correlations before integrating them into the full many-body problem, making a wide range of applications numerically feasible. We illustrate the power of this method by studying two examples. First, we study the thermalization of individual spins of a short XYZ Heisenberg chain with strongly coupled thermal leads. Our results confirm the complete thermalization of the chain when coupled to a single bath, and reveal distinct effective temperatures in low, mid, and high frequency regimes when the chain is placed between a hot and a cold bath. Second, we study the dynamics of diffusion in an longer XY chain, when each site couples to its own bath.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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