Quantum Receiver Enhanced by Adaptive Learning

Chaohan Cui, William Horrocks, Saikat Guha, N. Peyghambarian, Quntao Zhuang, Zheshen Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.

Original languageEnglish (US)
Article numberFF4A.2
JournalOptics InfoBase Conference Papers
StatePublished - 2022
EventCLEO: QELS_Fundamental Science, QELS 2022 -
Duration: Jan 1 2022 → …

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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