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arXiv 2603.04486quant-phcond-mat.stat-mech
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统一探测量子混沌与遍历性从哈密顿学习

Unified Probe of Quantum Chaos and Ergodicity from Hamiltonian Learning

Harvard University(哈佛大学);Harvard-Smithsonian Center for Astrophysics(哈佛-史密森天体物理中心);QuEra Computing Inc.(QuEra计算公司);Massachusetts Institute of Technology(麻省理工学院)

Nik O. Gjonbalaj, Christian Kokail, Susanne F. Yelin, Soonwon Choi

AI总结:

本文提出基于哈密顿学习的度量方法,统一探测量子混沌与遍历性,区分不同区域并量化混沌和遍历性,为量子模拟器提供实验方法。

摘要:

发展量子遍历性和混沌的度量标准是研究量子多体系统的基础任务。在本工作中,我们提出基于哈密顿学习的度量方法,统一了现有度量方法的多个优势。特别是,我们展示了遍历性和混沌如何提高哈密顿学习对小误差的鲁棒性,并进一步证明这种鲁棒性可以作为此类现象的度量。我们通过分析和数值方法展示,我们的度量不仅能够区分各种链中可积分和遍历性区域,还能够量化混沌和遍历性,使我们能够定位参数空间中表现出最大遍历性和最大局部扰动敏感性的区域。我们的方法不仅提供了研究量子混沌和遍历性的概念途径,还为量子模拟器提供了可行的实验方法。

英文摘要:

Developing measures of quantum ergodicity and chaos stands as a foundational task in the study of quantum many-body systems. In this work, we propose metrics for these effects based on Hamiltonian learning that unify multiple advantages of existing metrics. In particular, we show how ergodicity and chaos improve the robustness of Hamiltonian learning to small errors and furthermore demonstrate that this robustness can be used as a metric for such phenomena. We analytically and numerically show that our metrics not only distinguish between integrable and ergodic regimes in various spin chains but also quantify chaos and ergodicity, allowing us to locate regions of parameter space displaying maximal ergodicity and maximal sensitivity to local perturbations. Our approach not only provides conceptual ways to study quantum chaos and ergodicity but also presents viable experimental methods for quantum simulators.

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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