Restart uncertainty relation for monitored quantum dynamics

IF 9.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ruoyu Yin, Qingyuan Wang, Sabine Tornow, Eli Barkai
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引用次数: 0

Abstract

We introduce a time-energy uncertainty relation within the context of restarts in monitored quantum dynamics. Previous studies have established that the mean recurrence time, which represents the time taken to return to the initial state, is quantized as an integer multiple of the sampling time, displaying pointwise discontinuous transitions at resonances. Our findings demonstrate that the natural utilization of the restart mechanism in laboratory experiments, driven by finite data collection time spans, leads to a broadening effect on the transitions of the mean recurrence time. Our proposed uncertainty relation captures the underlying essence of these phenomena, by connecting the broadening of the mean hitting time near resonances, to the intrinsic energies of the quantum system and to the fluctuations of recurrence time. Our uncertainty relation has also been validated through remote experiments conducted on an International Business Machines Corporation (IBM) quantum computer. This work not only contributes to our understanding of fundamental aspects related to quantum measurements and dynamics, but also offers practical insights for the design of efficient quantum algorithms with mid-circuit measurements.
重新启动监测量子动力学的不确定关系
我们在监测量子动力学中引入了一个时间-能量不确定性关系。先前的研究已经确定,平均递归时间(表示返回到初始状态所需的时间)被量化为采样时间的整数倍,在共振处显示点向不连续跃迁。我们的研究结果表明,在有限的数据收集时间跨度的驱动下,实验室实验中对重启机制的自然利用导致了平均重现时间转变的展宽效应。我们提出的不确定性关系通过将共振附近平均撞击时间的扩大与量子系统的内在能量和重复时间的波动联系起来,抓住了这些现象的潜在本质。我们的不确定性关系也通过国际商业机器公司(IBM)量子计算机上的远程实验得到了验证。这项工作不仅有助于我们理解与量子测量和动力学相关的基本方面,而且为设计具有中路测量的高效量子算法提供了实用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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