在监控的哈密尔顿动态中,多体反泽诺热化和泽诺确定性
Jia-Jin Feng1, Quntao Zhuang1,2
1University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, California 90089, USA.
Physical review letters
|March 13, 2026
概括
研究人员开发了一种资源高效的方法,使用全息深度热化和中电路测量来生成随机量子状态. 这种方法只需要一个恒定尺寸的浴,大大减少了量子信息科学应用的资源需求.
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.
- 量子密码学 量子密码学
背景情况:
- 产生随机量子状态对于量子信息科学至关重要.
- 以前的方法需要大量的浴室进行热化和后期选择.
- 资源的局限性阻碍了先前的状态生成技术的可扩展性.
研究的目的:
- 提出一种资源高效的方案,用于生成随机量子状态.
- 为了减少量子状态生成所需的浴大小.
- 通过使用动态电路来实现真正随机状态的创建.
主要方法:
- 由哈密尔顿进化驱动的全息深度热化.
- 在动态电路中集成中间电路测量.
- 对潜力的分析,以量化状态随机性.
主要成果:
- 展示了一个方案,在一个恒定尺寸的浴中产生真正的随机状态.
- 框架潜力分析显示模拟和实验结果之间存在良好的一致性.
- 观察到与中电路测量相关的量子反Zeno和Zeno效应.
结论:
- 拟议的方案为生成随机量子状态提供了一个资源高效的替代方案.
- 动态电路允许空间和时间资源之间的权衡.
- 这些发现推动了用于各种应用的量子状态的实际生成.
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