Inhomogeneous Floquet thermalization

Soumya Bera, Ishita Modak, Roderich Moessner
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Abstract

How a closed system thermalizes, especially in the absence of global conservation laws but in the presence of disorder and interactions, is one of the central questions in non-equilibrium statistical mechanics. We explore this for a disordered, periodically driven Ising chain. Our numerical results reveal inhomogeneous thermalization leading to a distribution of thermalization timescales within a single disordered sample, which we encode via a distribution of effective local temperatures. Using this, we find an excellent collapse $\textit{without}$ $\textit{any}$ $\textit{fitting}$ $\textit{parameters}$ of the local relaxation dynamics for the entire range of disorder values in the ergodic regime when adapting the disorder-averaged diagonal entanglement entropy as internal `time' of the system. This approach evidences a remarkably uniform parametrization of the dynamical many-body evolution of local temperature within the otherwise highly heterogeneous ergodic regime, independent of the strength of the disorder.
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非均质 Floquet 热化
封闭系统如何热化,尤其是在缺乏全局守恒定律但存在无序和相互作用的情况下,是非平衡统计力学的核心问题之一。我们针对无序、周期性驱动的伊辛链探讨了这一问题。我们的数值结果揭示了在单一无序样本中导致热化时间尺度分布的均质热化,我们通过有效局部温度的分布对其进行编码。利用这一点,当把无序平均对角线纠缠熵作为系统的内部 "时间 "时,我们发现在遍历机制的整个无序值范围内,局部弛豫动力学的 "时间尺度 "都有很好的 "坍缩"($textit{without}$ $\textit{fitting}$$\textit{parameters}$ )。这种方法为原本高度异质的遍历机制中局部温度的动态多体演化提供了非常统一的参数,而与无序的强度无关。
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