开放量子系统中的半马尔科夫过程. II. II. II. II. II. II. II. II. II. II. II. II. II. II. II. II. II. II. 计数统计数据与重置重置
1School of Physics, Beihang University, Beijing 100083, China.
Physical review. E
|January 20, 2024
概括
这项研究将开放量子系统的半马尔科夫过程扩展到包括重置. 新的方法允许计算量子计数统计数据,即使是重置和崩,使用生存分布而不是量子运算符.
科学领域:
- 量子物理学 量子物理学 是一种量子物理学.
- 统计力学 统计力学
- 量子光学是一种量子光学.
背景情况:
- 开放的量子系统通常使用半马尔科夫过程来计算统计数据进行分析.
- 重置现象的引入使标准分析复杂化,原因是非马科夫行为.
研究的目的:
- 将现有的半马尔科夫过程方法用于量子计数统计扩展到重置系统.
- 开发一个框架来计算开放量子系统中的一般计数统计数据,这些系统会同时进行重置和波函数崩.
主要方法:
- 将半马尔科夫过程扩展到包括重置.
- 专注于量子跳跃轨迹和概率公式,从无重置数据中构建统计数据.
- 精确的倾斜矩阵方程的导数.
- 介绍了一种连续时间克隆算法,用于模拟大偏差属性.
主要成果:
- 随着崩重置系统中的量子跳跃轨迹不再是半马尔科夫式的.
- 一般计数统计数据可以从无重置统计数据中构建,使用轨迹分析和概率公式.
- 生存和等待时间分布作为输入,取代量子运算符.
- 连续时间克隆算法有效模拟大偏差属性.
结论:
- 开发的方法提供了一种强大的方法来分析在重置的开放量子系统中的计数统计数据.
- 该方法通过利用生存和等待时间分布来简化计算.
- 该研究提供了一个新的模拟工具,用于量子系统中的大偏差特性.
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