用微扰方法测量四次和对称势中的量子信息

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-02-01 Epub Date: 2025-01-03 DOI:10.1016/j.physa.2024.130346
Vikash Kumar Ojha , Ramkumar Radhakrishnan , Mariyah Ughradar
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引用次数: 0

摘要

我们分析了四次势阱和对称势阱作用下系统的Shannon和Fisher信息测度。波函数是通过求解与时间无关的Schrödinger方程,利用微扰理论的各个方面得到的。我们研究了不同量子态的信息如何随着势阱宽度的变化而演变。对于这两个势,香农熵在位置空间中随着宽度的增加而减小,在动量空间中随着宽度的增加而增大,熵和保持恒定,与海森堡的测不准原理一致。费雪信息测度对两种势表现出不同的行为:它对四次势几乎保持不变。对于对称井势,随着位置空间局域化的增加,Fisher信息在位置空间中减小,在动量空间中增大,这也符合海森堡测不准原理的模拟。此外,Bialynicki-Birula-Mycielski不等式在各种情况下进行了评估,并确认在每个情况下都成立。
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Quantum information measures in quartic and symmetric potentials using perturbative approach
We analyze the Shannon and Fisher information measures for systems subjected to quartic and symmetric potential wells. The wave functions are obtained by solving the time-independent Schrödinger equation, using aspects of perturbation theory. We examine how the information for various quantum states evolves with changes in the width of the potential well. For both potentials, the Shannon entropy decreases in position space and increases in momentum space as the width increases, maintaining a constant sum of entropies, consistent with Heisenberg’s uncertainty principle. The Fisher information measure shows different behaviors for the two potentials: it remains nearly constant for the quartic potential. For the symmetric well potential, the Fisher information decreases in position space and increases in momentum space as localization in position space increases, also consistent with the analogue of Heisenberg’s uncertainty principle. Additionally, the Bialynicki–Birula–Mycielski inequality is evaluated across various cases and is confirmed to hold in each instance.
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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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