Combining Squeezing and Transition Sensitivity Resources for Quantum Metrology by Asymmetric Non-Linear Rabi Model

IF 4.3 Q1 OPTICS
Zu-Jian Ying
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Abstract

Squeezing and transition criticality are two main sensitivity resources for quantum metrology (QM), combination of them may yield an upgraded metrology protocol for higher upper bound of measurement precision (MP). The present work shows that such a combination is feasible in light–matter interactions by a realizable asymmetric non-linear quantum Rabi model (QRM). Indeed, the non-linear coupling possesses a squeezing resource for diverging MP while the non-monotonous degeneracy lifting by the asymmetries induces an additional tunable transition which further enhances the MP by several orders, as demonstrated by the quantum Fisher information (QFI). The resource combination not only leads to cooperative boosts to the divergence of QFI but also brings divergence compensation with the merit of globally high MP. Moreover, the protocol is immune from the problem of diverging preparation time of probe state that may hinder the conventional linear QRM in application of QM. This work establishes a paradigmatic case of combining different sensitivity resources to manipulate QM and maximize MP.

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利用非对称非线性Rabi模型结合压缩和跃迁灵敏度资源进行量子计量
压缩临界和跃迁临界是量子计量的两种主要灵敏度资源,它们的结合可以为更高的测量精度上界提供一种升级的计量方案。本文的工作表明,通过一个可实现的非对称非线性量子拉比模型(QRM),这种组合在光-物质相互作用中是可行的。事实上,非线性耦合具有发散MP的压缩资源,而由不对称引起的非单调简并提升诱导了一个额外的可调跃迁,从而进一步提高了几个数量级的MP,量子费雪信息(QFI)证明了这一点。资源组合不仅协同促进了QFI的分化,而且还带来了具有全球高MP优势的分化补偿。此外,该协议避免了传统线性QRM在QM应用中存在的探针状态准备时间发散问题。本研究建立了一个结合不同灵敏度资源来操纵QM和最大化MP的范例。
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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CiteScore
7.90
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