Nature Communications (Apr 2022)

Deep learning enhanced Rydberg multifrequency microwave recognition

  • Zong-Kai Liu,
  • Li-Hua Zhang,
  • Bang Liu,
  • Zheng-Yuan Zhang,
  • Guang-Can Guo,
  • Dong-Sheng Ding,
  • Bao-Sen Shi

DOI
https://doi.org/10.1038/s41467-022-29686-7
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Rydberg atoms are sensitive to microwave signals and hence can be used to detect them. Here the authors demonstrate a Rydberg receiver enhanced by deep learning, Rydberg atoms acting as antennae, to receive, extract, and decode the multi-frequency microwave signal effectively.