多面的克里洛夫复杂性
Ben Craps1, Oleg Evnin1,2, Gabriele Pascuzzi1
1Vrije Universiteit Brussel (VUB), Theoretische Natuurkunde, and International Solvay Institutes, Brussels, Belgium.
Physical review letters
|February 21, 2025
概括
这项研究引入了一种使用多个量子运算子种子的新方法,以可靠地区分可整合和混乱的量子动态. 这种方法克服了传统的克里洛夫复杂性的局限性,为分析复杂的量子系统提供了强大的工具.
科学领域:
- 量子信息科学 量子信息科学
- 凝聚物质物理学 凝聚物质物理学
- 量子计算是一种量子计算.
背景情况:
- 克里洛夫的复杂性衡量了在量子系统中扩散的操作者.
- 传统的克里洛夫复杂性的有效性受限于初始操作员种子的选择.
- 区分可整合和混乱的量子动力学是一个关键的挑战.
研究的目的:
- 开发一种强大的方法来区分可整合和混乱的量子力学.
- 为了克服传统的克里洛夫复杂性的种子依赖性限制.
- 在量子系统分析中提出运算器复杂性的新应用.
主要方法:
- 将克里洛夫的复杂性考量同时应用于一组初始操作员种子的集合.
- 使用区块-兰佐斯算法框架进行同时种子分析.
- 将所有简单的 (少数体) 运算符视为初始种子的集合.
主要成果:
- 拟议的方法可靠地区分可整合和混乱的哈密尔顿数.
- 新建筑不需要对初始种子进行微调.
- 这种方法提供了比传统的克里洛夫复杂性更强大的量子力学测量方法.
结论:
- 开发了一种新的,独立于种子的方法来分析量子动力学.
- 这种方法提供了一种可靠的方式来区分可集成和混乱的系统.
- 这些发现对量子混沌研究和量子信息处理有影响.
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