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Freezing and revival of quantum coherence in decoherent reservoir
Quantum Information Processing ( IF 2.5 ) Pub Date : 2020-10-30 , DOI: 10.1007/s11128-020-02892-2
Jiadong Shi , Yaping Wang , Chengcheng Liu , Juan He , Lizhi Yu , Tao Wu

Quantum coherence (QC) as a crucial physical resource plays the vital role in recent researches of quantum information science, whereas the QC within an open system unavoidably deteriorates due to the system–environment interacting. In this paper, we analyze the dynamics of QC when the initial state is exposed to Markovian and non-Markovian reservoirs, respectively. We analytically derive the dynamical conditions under which the QC is frozen in the Markovian reservoir and explore the underlying physical mechanisms by investigating the trade-off relation between QC and mixedness of system. In the non-Markovian reservoir, we demonstrate the damped revivals of QC and show that these revivals can be effectively enhanced by increasing the memory degree of reservoir. These findings might provide an insightful physical interpretation for the dynamical phenomena of QC exhibiting in complex systems.



中文翻译:

解相干储层中量子相干的冻结与复活

量子相干(QC)作为一种重要的物理资源在量子信息科学研究领域中起着至关重要的作用,而开放系统中的QC不可避免地由于系统与环境之间的相互作用而恶化。在本文中,我们分析了初始状态分别暴露于马尔可夫和非马尔可夫油藏时的质控动力学。我们通过分析得出QC在马氏水库中冻结的动力学条件,并通过研究QC与系统混合之间的权衡关系来探索潜在的物理机制。在非马尔可夫油藏中,我们证明了QC的阻尼复活,并表明通过增加油藏的记忆度可以有效地增强这些复活。

更新日期:2020-10-30
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