利用具有纠错功能的信息噪声强化量子计量学

IF 8.1 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Hongzhen Chen, Yu Chen, Jing Liu, Zibo Miao, Haidong Yuan
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引用次数: 0

摘要

推动实用量子技术发展的主要挑战是噪声的存在,噪声会导致退相干,破坏量子系统的优势。不过,值得注意的是,噪声也可能包含信息,可以利用这些信息提高某些量子信息任务的性能。这一点已经针对特定类型的噪声进行了探索,但信息噪声在一般动力学中的全部潜力在很大程度上仍不为人所知。在这里,我们证明了信息噪声可以转化为提高量子计量学精度极限的宝贵资源。我们提供了必要条件和充分条件,在这些条件下,有信息噪声存在时实现的精度可以达到海森堡缩放。我们的研究为噪声在量子计量学中的作用提供了一个全新的视角,并为实现超出之前预期极限的更高精度开辟了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum Metrology Enhanced by Leveraging Informative Noise with Error Correction
The primary challenge in advancing practical quantum technology is the presence of noise, which can lead to decoherence and undermine the advantages of quantum systems. However, it is worth noting that noise can also contain information that can be harnessed to improve performance in certain quantum information tasks. This has been explored for specific types of noise, but the full potential of informative noise within general dynamics remains largely unknown. Here we demonstrate that informative noise can be transformed into a valuable resource for enhancing precision limits in quantum metrology. We provide necessary and sufficient conditions under which the precision achieved in the presence of informative noise can attain Heisenberg scaling. Our research offers a fresh perspective on the role of noise in quantum metrology and opens up avenues for achieving higher precision beyond the previously anticipated ultimate limit.
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来源期刊
Physical review letters
Physical review letters 物理-物理:综合
CiteScore
16.50
自引率
7.00%
发文量
2673
审稿时长
2.2 months
期刊介绍: Physical review letters(PRL)covers the full range of applied, fundamental, and interdisciplinary physics research topics: General physics, including statistical and quantum mechanics and quantum information Gravitation, astrophysics, and cosmology Elementary particles and fields Nuclear physics Atomic, molecular, and optical physics Nonlinear dynamics, fluid dynamics, and classical optics Plasma and beam physics Condensed matter and materials physics Polymers, soft matter, biological, climate and interdisciplinary physics, including networks
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