量子非马尔可夫性:概述和最新进展

U. Shrikant, Prabha Mandayam
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引用次数: 3

摘要

在噪声中尺度量子(NISQ)器件时代,开放系统动力学理论的研究具有至关重要的作用。特别是,理解和量化量子系统中的记忆效应对于更好地处理量子器件中噪声的影响至关重要。本综述的主要焦点是利用各种方法来解决定义和描述这种记忆效应的基本问题,这种效应被广泛地称为量子非马尔可夫性。我们首先讨论开放系统动力学的双时间参数映射方法,并回顾在这种范式中出现的量子非马尔可夫性的各种概念。然后,我们讨论了基于量子梳框架的量子随机过程的替代方法,该方法考虑了多时间相关性。我们讨论了这两种范式之间的联系和区别,最后讨论了量子非马尔可夫性的充分必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum non-Markovianity: Overview and recent developments
In the current era of noisy intermediate-scale quantum (NISQ) devices, research on the theory of open system dynamics has a crucial role to play. In particular, understanding and quantifying memory effects in quantum systems is critical to gain a better handle on the effects of noise in quantum devices. The main focus of this review is to address the fundamental question of defining and characterizing such memory effects—broadly referred to as quantum non-Markovianity—utilizing various approaches. We first discuss the two-time-parameter maps approach to open system dynamics and review the various notions of quantum non-Markovianity that arise in this paradigm. We then discuss an alternate approach to quantum stochastic processes based on the quantum combs framework, which accounts for multi-time correlations. We discuss the interconnections and differences between these two paradigms and conclude with a discussion on the necessary and sufficient conditions for quantum non-Markovianity.
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