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arXiv 2607.02462quant-phcond-mat.stat-mechcond-mat.str-el
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量子互信息作为开放量子系统中可积性的鲁棒探针

Quantum mutual information as a robust probe of integrability in open quantum systems

Harish-Chandra Research Institute(哈里什-钱德拉研究所);Homi Bhabha National Institute(霍米·巴巴国立研究所)

Nirupam Sen, Keshav Das Agarwal, Aditi Sen De

AI总结:

提出基于Haar平均总关联和(aSTC)的框架,利用其长时间平均值和时间涨落区分可积与混沌动力学,在非马尔可夫噪声下比OTOC更具鲁棒性。

摘要:

量子系统的动力学编码了底层哈密顿量是可积还是混沌的特征,通过产生的动力学态或算符的性质引出了量子信息 scrambling 的概念。我们引入一个基于 Haar 平均总关联和(aSTC)的信息论框架,以及从初始完全可分离态动态生成的平均真正多体纠缠,作为量子信息 scrambling 的鲁棒探针。使用横向和纵向磁场中的长程量子 XYZ 自旋模型(其可积极限是最近邻横向 XY 模型),我们证明 aSTC 的长时间平均值,更重要的是其时间涨落,提供了可积和混沌动力学的忠实且与系统大小无关的特征,类似于 scrambling 的传统度量——无序时间关联函数(OTOC)。当系统与热库接触且系统-库耦合遵循马尔可夫性时,我们发现 aSTC 和 OTOC 的涨落仅在中间时间能区分可积和混沌动力学。然而,在非马尔可夫域中,信息回流恢复了 scrambling 动力学,使得 aSTC 即使在长时间也能保持其区分能力。有趣的是,我们展示在马尔可夫振幅阻尼和非马尔可夫退相位噪声下,aSTC 的时间涨落在弱马尔可夫区域能区分可积性与非可积性,即使 OTOC 无法做到。

英文摘要:

The dynamics of a quantum system encode signatures of whether the underlying Hamiltonian is integrable or chaotic, giving rise to the concept of quantum information scrambling through the properties of the resulting dynamical states or operators. We introduce an information-theoretic framework based on the Haar-averaged sum of total correlations (aSTC), together with average genuine multipartite entanglement generated dynamically from initially fully separable states, as robust probes of quantum information scrambling. Using the long-range quantum XYZ spin model in transverse and longitudinal magnetic fields, whose integrable limit is the nearest-neighbor transverse XY model, we demonstrate that the long-time average and, more importantly, the temporal fluctuations of the aSTC provide a faithful and system-size-independent signature of integrable and chaotic dynamics, similar to the conventional measure of scrambling, out-of-time-ordered correlator (OTOC). When the system is in contact with the thermal reservoir and system-bath coupling follows Markovianity, we find that the fluctuations of the aSTC and OTOC continue to distinguish integrable and chaotic dynamics only at intermediate times. However, we observe that in the non-Markovian domain, information backflow restores the scrambling dynamics, enabling the aSTC to retain its distinguishing power even at long times. Interestingly, we exhibit that, under Markovian amplitude damping and non-Markovian dephasing noise, the temporal fluctuations of the aSTC can discriminate between integrability and non-integrability in the weak Markovian regime, even when OTOC fails to do so.

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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