克里洛夫和尼尔森复杂性之间的关系
Ben Craps1, Oleg Evnin1,2, Gabriele Pascuzzi1
1TENA, Vrije Universiteit Brussel (VUB) and International Solvay Institutes, Brussels 1050, Belgium.
我们发现了克里洛夫复杂度和尼尔森复杂度之间的联系,这两个量度量子进化. 平均克里洛夫复杂度与限制尼尔森复杂度的矩阵有关.
科学领域:
- 量子信息科学 量子信息科学
- 量子计算是一种量子计算.
- 这是量子混沌.
背景情况:
- 克里洛夫复杂性和尼尔森复杂性量化了量子进化.
- 这些方法分别来自量子混沌和量子计算.
- 现有的研究在很大程度上独立地处理了这些复杂性.
研究的目的:
- 为了研究克里洛夫复杂性和尼尔森复杂性之间的关系.
- 为了弥合量子混乱和量子计算对复杂性的观点之间的差距.
主要方法:
- 数学分析连接克里洛夫复杂度和尼尔森复杂度.
- 使用矩阵属性和地测流概念.
- 为尼尔森复杂度开发一个定制的惩罚时间表.
主要成果:
- 证明了克里洛夫和尼尔森复杂性之间的直接关系.
- 将克里洛夫复杂度的时间平均表达为矩阵痕迹.
- 使用这个矩阵建立了尼尔森复杂性的上限.
结论:
- 克里洛夫和尼尔森的复杂性是数学上联系在一起的.
- 这种联系为量子进化提供了新的见解.
- 对于量子复杂度测量的统一理解的潜力.
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