Quantifying non-Markovianity via local quantum Fisher information

Yassine Dakir, Abdallah Slaoui, Lalla Btissam Drissi, Rachid Ahl Laamara
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Abstract

Non-Markovian dynamics in open quantum systems arise when the system's evolution is influenced by its past interactions with the environment. Here, we present a novel metric for quantifying non-Markovianity based on local quantum Fisher information (LQFI). The proposed metric offers a distinct perspective compared to existing measures, providing a deeper understanding of information flow between the system and its environment. By comparing the LQFI-based measure to the LQU-based measure, we demonstrate its effectiveness in detecting non-Markovianity and its ability to capture the degree of non-Markovian behavior in various quantum channels. Furthermore, we show that a positive time derivative of LQFI signals the flow of information from the environment to the system, providing a clear interpretation of non-Markovian dynamics. Finally, the computational efficiency of the LQFI-based measure makes it a practical tool for characterizing non-Markovianity in diverse physical systems.
通过局部量子费雪信息量化非马尔可夫性
当系统的演化受到其过去与环境相互作用的影响时,开放量子系统中的非马尔可夫动态就会出现。在此,我们提出了一种基于局域量子渔夫信息(LQFI)的量化非马尔可夫性的新指标。与现有指标相比,我们提出的指标提供了一个独特的视角,让人们更深入地了解系统与其环境之间的信息流。通过将基于 LQFI 的度量与基于 LQU 的度量进行比较,我们证明了它在检测非马尔可夫性方面的有效性,以及它捕捉各种量子信道中非马尔可夫行为程度的能力。此外,我们还证明了 LQFI 的正时间后效标志着从环境到系统的信息流,为非马尔可夫动态提供了清晰的解释。最后,基于 LQFI 度量的计算效率使它成为表征各种物理系统非马尔可夫性的实用工具。
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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