耗散量子位谐振系统异常点附近灵敏度的增强

IF 4.3 Q1 OPTICS
Pei-Rong Han, Fan Wu, Xin-Jie Huang, Huai-Zhi Wu, Chang-Ling Zou, Wei Yi, Mengzhen Zhang, Hekang Li, Kai Xu, Dongning Zheng, Heng Fan, Jianming Wen, Zhen-Biao Yang, Shi-Biao Zheng
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引用次数: 0

摘要

量子计量技术旨在利用易受环境诱导退相干影响的量子效应来提高测量精度,耗散通常在量子计量技术中起着负面作用。最近,已经证明耗散实际上可以作为提高信号检测敏感性的有利资源。然而,这种增强在开放量子系统中检测物理量的演示仍然缺乏。本文提出并演示了实现这种非厄米量子传感器的协议,用于探测受能量耗散影响的量子比特和谐振器之间的耦合。与无跳变演化轨迹相关的激励数转换能够消除量子跳变的噪声结果,实现异常点(EP),其中Rabi分裂表现出发散行为以响应有效耦合的微小变化。理论计算和实验测量均证实了在极电位附近的灵敏度增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit-Resonator Systems

Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit-Resonator Systems

Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit-Resonator Systems

Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit-Resonator Systems

Enhancement of Sensitivity Near Exceptional Points in Dissipative Qubit-Resonator Systems

Dissipation usually plays a negative role in quantum metrological technologies, which aim to improve measurement precision by leveraging quantum effects that are vulnerable to environment-induced decoherence. Recently, it has been demonstrated that dissipation can actually be used as a favorable resource for enhancing the susceptibility of signal detection. However, demonstrations of such enhancement for detecting physical quantities in open quantum systems are still lacking. Here a protocol is proposed and demonstrated for realizing such non-Hermitian quantum sensors for probing the coupling between a qubit and a resonator subjecting to energy dissipations. The excitation-number conversion associated with the no-jump evolution trajectory enables removal of the noisy outcomes with quantum jumps, implementing the exceptional point (EP), where the Rabi splitting exhibits a divergent behavior in response to a tiny variation of the effective coupling. The sensitivity enhancement near the EP is confirmed by both theoretical calculation and experimental measurement.

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CiteScore
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