Information scrambling and redistribution of quantum correlations through dynamical evolution in spin chains

Sur, Saikat; Subrahmanyam, V.

doi:10.1007/s11128-022-03641-3

Cited by 3 publications

(1 citation statement)

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“…In References [ 31 ] and [ 74 ] Y. Li et al proposed a collision model to simulate the information dynamics in an all-optical system and found that non-Markovianity played dual roles in affecting the dynamics of information. In Reference [ 75 ], Sur and Subrahmanyam found that local quantum dynamical process can cause information scrambling even when the unitary evolution dynamics is non-scrambling in nature. Similar to OTOC, whether TMI is a suitable quantifier of information scrambling for an open quantum system is still an open question.…”

Section: Introductionmentioning

confidence: 99%

Quantum Information Scrambling in Non-Markovian Open Quantum System

Han

Zou

et al. 2022

Entropy

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In this paper, we investigate the dynamics of a spin chain whose two end spins interact with two independent non-Markovian baths by using the non-Markovian quantum state diffusion (QSD) equation approach. Specifically, two issues about information scrambling in an open quantum system are addressed. The first issue is that tripartite mutual information (TMI) can quantify information scrambling properly via its negative value in a closed system, whether it is still suitable to indicate information scrambling in an open quantum system. We find that negative TMI is not a suitable quantifier of information scrambling in an open quantum system in some cases, while negative tripartite logarithmic negativity (TLN) is an appropriate one. The second one is that up to now almost all information scrambling in open quantum systems reported were focus on a Markovian environment, while the effect of a non-Markovian environment on information scrambling is still elusive. Our results show that the memory effect of an environment will be beneficial to information scrambling. Moreover, it is found that the environment is generally detrimental for information scrambling in the long-term, while in some cases it will be helpful for information scrambling in the short-term.

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Section: Introductionmentioning

confidence: 99%