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arXiv · 2402.00273

Nonlinearity-Enhanced Continuous Microwave Detection Based on Stochastic Resonance

Kang-Da Wu·Chongwu Xie·Chuan-Feng Li·Guang-Can Guo·Chang-Ling Zou·Guo-Yong Xiang
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Abstract

In practical sensing tasks, noise is usually regarded as an obstruction to better performance and will degrade the sensitivity. Fortunately, \textit{stochastic resonance} (SR), a counterintuitive concept, can utilize noise to greatly enhance the detected signal amplitude. Although fundamentally important as a mechanism of weak signal amplification, and has been continually explored in geological, biological, and physical science, both theoretically and experimentally, SR has yet to be demonstrated in realistic sensing tasks. Here we develop a novel SR-based nonlinear sensor using a thermal ensemble of interacting Rydberg atoms. With the assistance of stochastic noise (either inherently in the system or added externally) and strong nonlinearity in the Rydberg ensembles, the signal encoded in a weak MW field is greatly enhanced (over 25 dB). Moreover, we show that the SR-based atomic sensor can achieve a better sensitivity in our system, which is over 6.6 dB compared to a heterodye atomic sensor. Our results show potential advantage of SR-based MW sensors in commercial or defense-related applications.

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Kang-Da Wu, Chongwu Xie, Chuan-Feng Li, Guang-Can Guo, Chang-Ling Zou, Guo-Yong Xiang. 2024-02-01. Nonlinearity-Enhanced Continuous Microwave Detection Based on Stochastic Resonance. https://doi.org/10.1126/sciadv.ado8130

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