XUE Jingjing; LI Ruonan; HU Xuesong; SUN Peisheng; ZHOU HaiTao; ZHANG Junxiang

doi:10.7498/aps.74.20250081

Abstract

The Rydberg-based microwave detection is an all-optical technology that uses the strong coherent interaction between Rydberg atoms and microwave field. Different from the traditional microwave meter, the Rydberg atomic sensing is a new-type microwave detector that transforms the microwave spectrum into a coherent optical spectrum, and arouses increasingly the interests due to its high sensibility. For this kind of sensor, the coherence effect induced by coupling atoms with microwave plays a key role, and the decoherence may reduce the sensitivity. A multi-level Rydberg atomic scheme with optimized quantum coherence, which enhances both the bandwidth and the sensitivity for 4 GHz microwave sensing, is demonstrated experimentally in this work. The enhanced quantum coherence of Rydberg electromagnetically induced transparency (EIT) and microwave induced Autler-Townes (AT) splitting in EIT windows are shown using optical pumping at D1 line. The enhanced sensitivity at 3.4 GHz with 0.3 GHz bandwidth can be realized, based on the enhanced EIT-AT spectrum. The experimental results show that in the stepped Rydberg EIT system, the spectral width of EIT and microwave field EIT-AT can be narrowed by optical pumping (OP), so the sensitivity of microwave electric field measurement can be improved. After optimizing the EIT amplitude and adding single-frequency microwaves, the sensitivity of the microwave electric field measurement observed by the AT splitting interval is improved by 1.3 times. This work provides a reference for utilizing atomic microwave detection.

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Corresponding author: ZHOU HaiTao, zht007@sxu.edu.cn

Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 92476114, 61975102, 11704235), the Natural Science Foundation of Shanxi Province, China (Grant No. 20210302123437), the Natural Science Foundation for Youth Scientists of Shanxi Province, China (Grant No. 201901D211166), and the Shanxi Provincial Science and Technology Innovation Project of Colleges and Universities, China (Grant No. 2020L0038).

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Vol. 74, Issue 8 - 2025-04-20

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