随机矩阵理论对量子的方法 量子ergodic系统中的费舍尔信息
Venelin P Pavlov1, Yoana R Chorbadzhiyska1, Charlie Nation2
1Center for Quantum Technologies, Department of Physics, <a href="https://ror.org/02jv3k292">St. Kliment Ohridski University of Sofia</a>, James Bourchier 5 Blvd., 1164 Sofia, Bulgaria.
Physical review. E
|September 19, 2024
概括
我们使用随机矩阵理论在混乱系统中探索量子参数估计. 我们的发现揭示了在量子热化过程中控制信息传播和提取的三个不同的时间尺度.
科学领域:
- 量子信息科学 量子信息科学
- 量子多体系统是一个量子多体系统.
- 统计物理 统计物理
背景情况:
- 量子混沌系统表现出复杂的动态.
- 量子参数估计量化了从量子状态中获得的信息.
- 随机矩阵理论有效地描述了量子 ergodic 系统.
研究的目的:
- 从理论上研究量子混沌系统中的量子参数估计.
- 导出量子费舍尔信息 (QFI) 的时间演变的分析表达式.
- 了解量子热化过程中信息传播的时间尺度.
主要方法:
- 通过随机矩阵汉密尔顿式,利用量子 ergodic 系统的有效描述.
- 导出QFI的时间演变的分析表达式.
- 执行一个不可整合的旋转系统的精确对角化,用于数值验证.
主要成果:
- 确定了三种不同的时间表,决定了QFI的演变.
- 观察到最初的二次方位QFI增加,其次是线性增加,最后的二次方位长时间行为.
- 来自一个不可整合的自旋系统的数值结果验证了随机矩阵理论的预测.
结论:
- 该研究为混乱系统中的量子参数估计提供了分析框架.
- 在量子热化过程中,局部哈密尔顿参数的信息在整个系统中分布.
- 这些发现为复杂量子系统中的信息动态提供了洞察力.
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