Effects of stickiness on the quantum states of strongly chaotic open systems.

IF 2.4 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS Physical Review E Pub Date : 2024-12-01 DOI:10.1103/PhysRevE.110.L062201
Miguel A Prado Reynoso, Edson M Signor, Sandra D Prado, Lea F Santos
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Abstract

Focusing on the standard map of the kicked rotor, we investigate the effects of classical stickiness (orbits temporarily confined to a region of a chaotic phase space) on an open quantum system. The regions of stickiness that we identify emerge in the strongly chaotic map. By scanning the system's phase space with a leak, we show that stickiness reduces the degree of delocalization of the quantum states and the decay rate of generic initial states. We find an excellent correspondence between the classical dwell time and finite-time Lyapunov exponents with the quantum dwell time and Wehrl entropies of the quantum states. Knowledge of the structure of the classically chaotic trajectories can thus be used to determine the best placement of leaks to enhance or decrease the degree of delocalization of quantum states and to modify the quantum dynamics of open systems.

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粘性对强混沌开放系统量子态的影响。
聚焦于踢转子的标准映射,我们研究了经典粘性(轨道暂时限制在混沌相空间的一个区域)对开放量子系统的影响。我们确定的粘性区域出现在强混沌图中。通过扫描带泄漏的系统相空间,我们发现粘性降低了量子态的离域程度和一般初始态的衰减率。我们发现经典停留时间和有限时间李雅普诺夫指数与量子停留时间和量子态的Wehrl熵之间有很好的对应关系。因此,对经典混沌轨迹结构的了解可以用来确定泄漏的最佳位置,以增强或降低量子态的离域程度,并修改开放系统的量子动力学。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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