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arXiv 2407.06253cond-mat.dis-nnquant-ph
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用于检测相互作用准周期链中本征态区域间相互独立性的无监督机器学习

Unsupervised machine learning for detecting mutual independence among eigenstate regimes in interacting quasiperiodic chains

Colin Beveridge, Kathleen Hart, Cassio Rodrigo Cristani, Xiao Li, Enrico Barbierato, Yi-Ting Hsu

AI总结:

本文提出一种基于本征态纠缠谱的无监督学习方法,用于量化相互作用准周期链中非遍历扩展态、多体局域化态和热化态之间的相互独立性,发现NEE区域依赖前两者并平滑出现。

摘要:

在具有中等准周期势的某些相互作用链中,数值上发现了既非热化也非多体局域化(MBL)的多体本征态。由这些非遍历但扩展(NEE)的本征态组成的能量区域已被广泛研究,因为它可能是能量分辨的MBL相与热化相之间的多体迁移率边。最近,NEE区域进一步被提出是一种预热化现象,通常在不同算符以显著不同的时间尺度传播时出现。在这里,我们从本征态纠缠谱(ES)的角度数值检验了NEE、MBL和热化区域之间的相互独立性。鉴于ES中嵌入的复杂性和丰富信息,我们开发了一种无监督学习方法,旨在量化一般相之间的相互独立性。我们的方法首先在一个使用RGB颜色数据表示相的说明性玩具示例上进行了演示,然后应用于从弱到强势强度的相互作用广义Aubry Andre模型的ES。我们发现,虽然MBL和热化区域是相互独立的,但NEE区域依赖于前两者,并随着势强度的减小而平滑出现。我们将这一数值发现归因于NEE区域中的ES数据同时表现出类似MBL的快速衰减和类似热化的长尾。

英文摘要:

Many-body eigenstates that are neither thermal nor many-body-localized (MBL) were numerically found in certain interacting chains with moderate quasiperiodic potentials. The energy regime consisting of these non-ergodic but extended (NEE) eigenstates has been extensively studied for being a possible many-body mobility edge between the energy-resolved MBL and thermal phases. Recently, the NEE regime was further proposed to be a prethermal phenomenon that generally occurs when different operators spread at sizably different timescales. Here, we numerically examine the mutual independence among the NEE, MBL, and thermal regimes in the lens of eigenstate entanglement spectra (ES). Given the complexity and rich information embedded in ES, we develop an unsupervised learning approach that is designed to quantify the mutual independence among general phases. Our method is first demonstrated on an illustrative toy example that uses RGB color data to represent phases, then applied to the ES of an interacting generalized Aubry Andre model from weak to strong potential strength. We find that while the MBL and thermal regimes are mutually independent, the NEE regime is dependent on the former two and smoothly appears as the potential strength decreases. We attribute our numerically finding to the fact that the ES data in the NEE regime exhibits both an MBL-like fast decay and a thermal-like long tail.

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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