Entangled sensor networks empowered by machine learning

Yi Xia, Wei Li, William Clark, Darlene Hart, Quntao Zhuang, Zheshen Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose and experimentally demonstrate a reconfigurable radio-frequency photonic sensor network based on continuous-variable multipartite entanglement. We further show that the entangled sensor network can be trained to undertake quantum-enhanced data classification tasks.

Original languageEnglish (US)
Title of host publicationOptical Fiber Communication Conference, OFC 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2021
Externally publishedYes
EventOptical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States
Duration: Jun 6 2021Jun 11 2021

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceOptical Fiber Communication Conference, OFC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/6/216/11/21

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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