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arXiv 1807.05075cond-mat.dis-nnnlin.CD
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多体局域化水平统计量的随机矩阵包络

Random Matrix Ensemble for the Level Statistics of Many-Body Localization

Wouter Buijsman, Vadim Cheianov, Vladimir Gritsev

摘要:

我们数值研究了高斯$β$系综的能级统计。这些统计量将Wigner-Dyson水平统计量从Dyson指数$β= 1,2,4$的离散集合推广到连续范围$0 < β< \infty$。高斯$β$系综覆盖了$β\to 0$的泊松水平统计,并提供了泊松和Wigner-Dyson水平统计之间的平滑插值。我们建立的高斯$β$合奏的水平统计的物理相关性,通过显示接近完美的协议与水平统计的一个范例模型在多体局域化的研究在整个交叉范围内从热的多体本地化阶段。此外,我们显示出类似的协议与时间反演对称性破缺的相关哈密顿量。

英文摘要:

We numerically study the level statistics of the Gaussian $β$ ensemble. These statistics generalize Wigner-Dyson level statistics from the discrete set of Dyson indices $β= 1,2,4$ to the continuous range $0 < β< \infty$. The Gaussian $β$ ensemble covers Poissonian level statistics for $β\to 0$, and provides a smooth interpolation between Poissonian and Wigner-Dyson level statistics. We establish the physical relevance of the level statistics of the Gaussian $β$ ensemble by showing near-perfect agreement with the level statistics of a paradigmatic model in studies on many-body localization over the entire crossover range from the thermal to the many-body localized phase. In addition, we show similar agreement for a related Hamiltonian with broken time-reversal symmetry.

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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