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一维旋转模型的动力学通过张量网络的复杂时间演变
Jeong Hyeok Cha1,2, Hyun-Yong Lee3,4, Heung-Sik Kim5,6,7,8
1Department of Semiconductor Physics, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Scientific reports
|October 28, 2025
概括
使用张量网络方法的复杂时间进化为研究量子系统动态提供了一种强大的方法. 这种方法有效地管理了纠增长,为像横场Ising和XXZ模型这样的模型提供了可靠的见解.
科学领域:
- 量子物理学的量子物理学
- 凝聚物质理论 凝聚物质理论
- 计算物理学的计算物理.
背景情况:
- 研究强烈相关的量子系统的实时动态是具有挑战性的.
- 密度矩阵重规范化组 (DMRG) 和张量网络方法在这个领域取得了进展.
- 复杂时间进化被引入,以管理张量网络状态中的纠.
研究的目的:
- 通过复杂时间进化研究一维旋转系统的动力学.
- 分析横场Ising模型 (TFIM) 和XXZ模型.
- 评估复杂时间进化在管理纠生长中的有效性.
主要方法:
- 采用了一个复杂的时间演化方案,用于张量网络状态.
- 将该方法应用于一维旋转系统:TFIM和XXZ模型.
- 进行了动态临界指数和动态结构因子的分析.
主要成果:
- 复杂时间进化成功复制实时进化结果.
- 该方法显著缓解了量子纠的快速增长.
- 成功重复了TFIM的动态临界指数z.
- 探索了XXZ模型的间隙和无间隙状态中的动态结构因子.
结论:
- 复杂时间进化结合外推是量子力学的一个强大的框架.
- 这种方法使复杂量子系统的有效和全面研究成为可能.
- 提供了一个强大的工具,以了解强烈相关的系统的行为.
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