A Class of Quasi-Eternal Non-Markovian Pauli Channels and Their Measure

IF 1.3 4区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL
Shrikant Utagi, V. Rao, R. Srikanth, Subhashis Banerjee
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引用次数: 0

Abstract

We study a class of qubit non-Markovian general Pauli dynamical maps with multiple singularities in the generator. We discuss a few easy examples involving trigonometric or other nonmonotonic time dependence of the map, and discuss in detail the structure of channels which don’t have any trigonometric functional dependence. We demystify the concept of a singularity here, showing that it corresponds to a point where the dynamics can be regular but the map is momentarily noninvertible, and this gives a basic guideline to construct such non-invertible non-Markovian channels. Most members of the channels in the considered family are quasi-eternally non-Markovian (QENM), which is a broader class of non-Markovian channels than the eternal non-Markovian channels. Specifically, the measure of quasi-eternal non-Markovian (QENM) channels in the considered class is shown to be [Formula: see text] in the isotropic case, and about 0.96 in the anisotropic case.
一类拟永恒非马尔可夫泡利通道及其测度
研究了一类具有多重奇异性的量子比特非马尔可夫一般泡利动态映射。我们讨论了几个简单的涉及映射的三角或其他非单调时间依赖的例子,并详细讨论了没有任何三角函数依赖的通道的结构。我们在这里揭开了奇点概念的神秘面纱,表明它对应于一个点,在这个点上,动力学可以是正则的,但映射暂时是不可逆的,这为构造这种不可逆的非马尔可夫通道提供了一个基本准则。所考虑的通道族中的大多数成员都是准永久非马尔可夫通道(QENM),这是比永久非马尔可夫通道更广泛的一类非马尔可夫通道。具体来说,在所考虑的类别中,准永恒非马尔可夫(QENM)通道的度量在各向同性情况下显示为[公式:见文本],在各向异性情况下约为0.96。
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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来源期刊
Open Systems & Information Dynamics
Open Systems & Information Dynamics 工程技术-计算机:信息系统
CiteScore
1.40
自引率
12.50%
发文量
4
审稿时长
>12 weeks
期刊介绍: The aim of the Journal is to promote interdisciplinary research in mathematics, physics, engineering and life sciences centered around the issues of broadly understood information processing, storage and transmission, in both quantum and classical settings. Our special interest lies in the information-theoretic approach to phenomena dealing with dynamics and thermodynamics, control, communication, filtering, memory and cooperative behaviour, etc., in open complex systems.
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