TY - GEN
T1 - Entanglement-enhanced physical-layer classifier using supervised machine learning
AU - Zhuang, Quntao
AU - Zhang, Zheshen
N1 - Publisher Copyright:
© 2019 The Author(s).
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068215437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068215437&partnerID=8YFLogxK
U2 - 10.1364/CLEO-QELS.2019.FF1F.1
DO - 10.1364/CLEO-QELS.2019.FF1F.1
M3 - Conference contribution
AN - SCOPUS:85068215437
SN - 9781943580576
T3 - Optics InfoBase Conference Papers
BT - CLEO
PB - Optica Publishing Group (formerly OSA)
T2 - CLEO: QELS_Fundamental Science, CLEO_QELS 2019
Y2 - 5 May 2019 through 10 May 2019
ER -