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arXiv 2407.06282quant-phcond-mat.str-el
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基于非厄米张量网络核多项式算法的多体刘维尔动力学

Many-body Liouvillian dynamics with a non-Hermitian tensor-network kernel polynomial algorithm

Guangze Chen, Jose L. Lado, Fei Song

AI总结:

本文提出结合非厄米核多项式方法与张量网络技术求解多体刘维尔谱和动力学,并在退相干量子罗盘模型中验证了其刻画量子芝诺 crossover 和斯塔克局域化效应的能力。

摘要:

理解开放量子多体系统的动力学是量子物质领域的一个重大问题。具体而言,高效求解支配此类动力学的刘维尔超算符的谱仍然是一项关键的开放挑战。在此,我们提出一种基于非厄米核多项式方法和张量网络技术来求解多体刘维尔谱和动力学的方法。我们通过计算具有梯度磁场的退相干量子罗盘模型的动力学,并将其与精确结果进行比较,证明了该方法的忠实性。特别地,我们展示了该方法使我们能够刻画该模型中的量子芝诺 crossover 以及由斯塔克局域化导致的弛豫速率降低。我们进一步通过探索最近邻相互作用对刘维尔动力学的影响,证明了该方法超越精确结果的能力,阐明了斯塔克局域化与多体相互作用之间的相互作用。我们的方法为多体刘维尔谱和动力学提供了一种高效求解方案,建立了一套探索大型开放量子多体系统的方法论。

英文摘要:

Understanding the dynamics of open quantum many-body systems is a major problem in quantum matter. Specifically, efficiently solving the spectrum of the Liouvillian superoperator governing such dynamics remains a critical open challenge. Here, we put forward a method for solving the many-body Liouvillian spectrum and dynamics based on the non-Hermitian kernel polynomial method and tensor-network techniques. We demonstrate the faithfulness of our method by computing the dynamics of the dephasing quantum compass model with a gradient magnetic field and comparing it with exact results. In particular, we show that our method allows us to characterize the quantum Zeno crossover and the reduction of relaxation rate due to Stark localization in this model. We further demonstrate the ability of our method to go beyond exact results by exploring nearest-neighbor interaction effects on the Liouvillian dynamics, elucidating the interplay between Stark localization and many-body interactions. Our method provides an efficient solution to many-body Liouvillian spectrum and dynamics, establishing a methodology to explore large open quantum many-body systems.

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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