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) 2019 OSA.
PY - 2019/5
Y1 - 2019/5
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=85069194304&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069194304&partnerID=8YFLogxK
U2 - 10.23919/CLEO.2019.8750495
DO - 10.23919/CLEO.2019.8750495
M3 - Conference contribution
AN - SCOPUS:85069194304
T3 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
BT - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019
Y2 - 5 May 2019 through 10 May 2019
ER -