在古典到量子随机过程中的对称运算和关键行为
Gustavo Montes1, Soham Biswas1, Thomas Gorin1
1Universidad de Guadalajara, Departamento de Física, Guadalajara, Jalísco, C.P.-44430, Mexico.
Physical review. E
|January 21, 2026
概括
这项研究探讨了经典马尔科夫链的量子扩展,揭示了多样化的放松动态和连贯行为. 研究结果显示,随着时间的推移,一致性指标具有独特的扩展特性.
科学领域:
- 量子物理学的量子物理学
- 统计力学就是统计力学.
- 复杂的系统复杂的系统.
背景情况:
- 经典的随机过程可以用量子类比来建模.
- 量子过程通常会同时产生和破坏连贯性.
- 马尔科夫链对于具有无记忆过渡的建模系统至关重要.
研究的目的:
- 使用对称运算生成经典马尔科夫链的量子扩展.
- 为了研究这些量子扩展的独特放松动态.
- 分析连贯性和放松速度之间的关系.
主要方法:
- 通过叠加构建经典随机过程的量子类比.
- 采用对称运算来创建多种量子马尔科夫链延伸.
- 监测连贯性,平衡概率,域壁衰变和纯度.
主要成果:
- 量子扩展表现出明显不同的放松过程.
- 一致性,平衡概率,域壁衰变和纯度在扩展中各不相同.
- 在L1规范连贯性和放松速度之间发现了关系.
- 有限大小的缩放存在于连贯性,对于短时间和长时间有不同的临界指数.
结论:
- 马尔科夫链的量子扩展提供了丰富多样的动态行为.
- 连贯性在这些量子系统的放松动态中起着至关重要的作用.
- 该研究提供了对量子信息处理和凝聚物质物理学的见解.
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