Information Acquisition, Scrambling, and Sensitivity to Errors in Quantum Chaos

IF 2.3 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES
P. G. Sreeram, Abinash Sahu, Naga Dileep Varikuti, Bishal Kumar Das, Sourav Manna, Vaibhav Madhok
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引用次数: 0

Abstract

Quantum chaos is the study of footprints of classical chaos in the quantum world. The quantum signatures of chaos can be understood by studying quantum systems whose classical counterpart is chaotic. However, the concepts of integrability, non-integrability and chaos extend to systems without a classical analogue. Here, we first review the classical route from order into chaos. Since nature is fundamentally quantum, we discuss how chaos manifests in the quantum domain. We briefly describe semi-classical methods, and discuss the consequences of chaos in quantum information processing. We review the quantum version of Lyapunov exponents, as quantified by the out-of-time ordered correlators (OTOC), Kolmogorov–Sinai (KS) entropy and sensitivity to errors. We then review the study of signatures of quantum chaos using quantum tomography. Classically, if we know the dynamics exactly, as we maintain a constant coarse-grained tracking of the trajectory, we gain exponentially fine-grained information about the initial condition. In the quantum setting, as we track the measurement record with fixed signal-to-noise, we gain increasing information about the initial condition. In the process, we have given a new quantification of operator spreading in Krylov subspaces with quantum state reconstruction. The study of these signatures is not only of theoretical interest but also of practical importance.

量子混沌中的信息获取、置乱和误差敏感性
量子混沌是对经典混沌在量子世界中的足迹的研究。混沌的量子特征可以通过研究其经典对应物是混沌的量子系统来理解。然而,可积性、不可积性和混沌的概念扩展到没有经典类比的系统。在这里,我们首先回顾一下从有序到混乱的经典路线。由于自然界基本上是量子的,我们将讨论混沌如何在量子领域中表现出来。我们简要地描述了半经典方法,并讨论了混沌在量子信息处理中的后果。我们回顾了Lyapunov指数的量子版本,由超时有序相关器(OTOC), Kolmogorov-Sinai (KS)熵和误差敏感性量化。然后,我们回顾了量子层析成像对量子混沌特征的研究。经典地,如果我们确切地知道动力学,当我们保持一个恒定的粗粒度轨迹跟踪时,我们就会获得关于初始条件的指数级细粒度信息。在量子环境中,当我们用固定的信噪比跟踪测量记录时,我们获得了关于初始条件的越来越多的信息。在此过程中,我们给出了一种新的基于量子态重构的Krylov子空间中算子扩展的量化方法。对这些特征的研究不仅具有理论意义,而且具有实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Indian Institute of Science
Journal of the Indian Institute of Science MULTIDISCIPLINARY SCIENCES-
CiteScore
4.30
自引率
0.00%
发文量
75
期刊介绍: Started in 1914 as the second scientific journal to be published from India, the Journal of the Indian Institute of Science became a multidisciplinary reviews journal covering all disciplines of science, engineering and technology in 2007. Since then each issue is devoted to a specific topic of contemporary research interest and guest-edited by eminent researchers. Authors selected by the Guest Editor(s) and/or the Editorial Board are invited to submit their review articles; each issue is expected to serve as a state-of-the-art review of a topic from multiple viewpoints.
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