新的量子控制辅助逆不确定关系的动态研究

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Qiyi Li , Shaoqiang Ma , Sansheng Wang , Xiao Zheng , Guofeng Zhang
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引用次数: 0

摘要

最近,引入了一个有趣的反向不确定关系的新概念。与正常的不确定关系不同,相反的不确定关系表明,对于不相容的观测量,不仅可以制备联合小不确定的量子态,而且可以制备联合大不确定的量子态。本文构建了一个新的量子控制辅助的反向不确定性关系,并研究了具有Dzyaloshinskii-Moriya相互作用的Heisenberg模型中相应的动态演化。得到的关系表明,在量子控制系统的帮助下,反向不确定性可以被打破。动态研究表明,新的不确定关系与系统的混性之间存在着有趣的单值关系,表明不确定关系的紧密度和上界可以写成混性的函数形式。通过对比文献[Physica Scripta 2023, 98(6), 065113]中已有的研究,我们发现具有混合性的单值关系是正常不确定关系和反向不确定关系的共同性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic investigation of the new quantum-control-assisted reverse uncertainty relation
Recently, a new interesting concept of reverse uncertainty relation is introduced. Different from the normal uncertainty relation, the reverse one indicates that one cannot only prepare quantum states with joint small uncertainty, but also with joint great uncertainty for incompatible observables. We in this work construct a new quantum-control-assisted reverse uncertainty relation and investigate the corresponding dynamic evolution in the Heisenberg model with Dzyaloshinskii–Moriya interaction. The obtained relation indicates that the reverse uncertainty can be broken with help of the quantum control system. The dynamic investigation reveals that there exists an interesting single-value relationship between new uncertainty relation and the mixedness of the system, indicating that the tightness and upper bound of the uncertainty relation can be written as functional form of the mixedness. By comparing the existing research in [Physica Scripta 2023, 98(6), 065113], we show that the single-value relationship with the mixedness is the common nature of both the normal uncertainty relations and the reverse uncertainty relation.
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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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