TY - JOUR
T1 - Quantum Receiver Enhanced by Adaptive Learning
AU - Cui, Chaohan
AU - Horrocks, William
AU - Guha, Saikat
AU - Peyghambarian, N.
AU - Zhuang, Quntao
AU - Zhang, Zheshen
N1 - Publisher Copyright:
© Optica Publishing Group 2022, © 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.
AB - Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.
UR - http://www.scopus.com/inward/record.url?scp=85136792801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136792801&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85136792801
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - FF4A.2
T2 - CLEO: QELS_Fundamental Science, QELS 2022
Y2 - 15 May 2022 through 20 May 2022
ER -