Entanglement-enhanced physical-layer classifier using supervised machine learning

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

Abstract

We introduce physical-layer classifiers enhanced by multipartite entanglement learned through a supervised support-vector machine. The required entangled states are practical and give error probability advantage over classical schemes even in presence of loss.

Original languageEnglish (US)
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO_QELS 2019
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580576
DOIs
StatePublished - 2019
EventCLEO: QELS_Fundamental Science, CLEO_QELS 2019 - San Jose, United States
Duration: May 5 2019May 10 2019

Publication series

NameOptics InfoBase Conference Papers
VolumePart F128-CLEO_QELS 2019
ISSN (Electronic)2162-2701

Conference

ConferenceCLEO: QELS_Fundamental Science, CLEO_QELS 2019
Country/TerritoryUnited States
CitySan Jose
Period5/5/195/10/19

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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