Quantum receiver enhanced by adaptive learning

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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Quantum receivers aim to effectively navigate the vast quantum-state space to endow quantum information processing capabilities unmatched by classical receivers. To date, only a handful of quantum receivers have been constructed to tackle the problem of discriminating coherent states. Quantum receivers designed by analytical approaches, however, are incapable of effectively adapting to diverse environmental conditions, resulting in their quickly diminishing performance as the operational complexities increase. Here, we present a general architecture, dubbed the quantum receiver enhanced by adaptive learning, to adapt quantum receiver structures to diverse operational conditions. The adaptively learned quantum receiver is experimentally implemented in a hardware platform with record-high efficiency. Combining the architecture and the experimental advances, the error rate is reduced up to 40% over the standard quantum limit in two coherent-state encoding schemes.

Original languageEnglish (US)
Article number344
JournalLight: Science and Applications
Volume11
Issue number1
DOIs
StatePublished - Dec 2022

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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