A non-Markovianity measure based on quantum speed limit

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Safae Gaidi , Abdallah Slaoui , Mohammed EL Falaki , Rachid Ahl Laamara
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引用次数: 0

Abstract

The quantum speed limit sets a fundamental bound on the speed at which quantum states can evolve and is commonly regarded as a manifestation of the time-energy uncertainty relation. In contrast, non-Markovian dynamics arise in open quantum systems when past interactions with the environment influence the system’s evolution. Establishing connections between these two concepts is a key challenge in quantum information science. By leveraging the relationship between non-Markovianity and Bures distance metrics, we propose a novel approach to quantify non-Markovianity through quantum speed limit. This method incorporates the impact of the quantum speed limit time on non-Markovian dynamics. As applications, we analyze the Jaynes–Cummings and damped Jaynes–Cummings models, demonstrating how system-environment interactions shape non-Markovian behavior. Our results reveal that the non-Markovian character of these processes is strongly correlated with a reduction in the quantum speed limit time, signifying a speedup in quantum evolution.
基于量子速度极限的非马尔可夫性测度
量子速度极限设定了量子态演化速度的基本界限,通常被认为是时间-能量不确定性关系的表现。相反,在开放量子系统中,当过去与环境的相互作用影响系统的演化时,就会出现非马尔可夫动力学。在这两个概念之间建立联系是量子信息科学的一个关键挑战。利用非马尔可夫性和Bures距离度量之间的关系,我们提出了一种通过量子速度限制来量化非马尔可夫性的新方法。该方法考虑了量子速度限制时间对非马尔可夫动力学的影响。作为应用,我们分析了Jaynes-Cummings和阻尼Jaynes-Cummings模型,展示了系统-环境相互作用如何塑造非马尔可夫行为。我们的研究结果表明,这些过程的非马尔可夫特征与量子速度极限时间的减少密切相关,这意味着量子进化的加速。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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