Light: Science & Applications (Dec 2022)

Quantum receiver enhanced by adaptive learning

  • Chaohan Cui,
  • William Horrocks,
  • Shuhong Hao,
  • Saikat Guha,
  • Nasser Peyghambarian,
  • Quntao Zhuang,
  • Zheshen Zhang

DOI
https://doi.org/10.1038/s41377-022-01039-5
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 7

Abstract

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The proposed adaptive-learning framework empowers automatic design of quantum receivers capable of combating noise in distinguishing large-alphabet nonorthogonal quantum states. Experiments show up to 40% improvement over standard approaches.