TY - JOUR
T1 - Entangled sensor networks empowered by machine learning
AU - Xia, Yi
AU - Li, Wei
AU - Clark, William
AU - Hart, Darlene
AU - Zhuang, Quntao
AU - Zhang, Zheshen
N1 - Publisher Copyright:
© OSA 2021, © 2021 The Author(s)
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85133760582&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85133760582
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
T2 - Optical Fiber Communication Conference, OFC 2021
Y2 - 6 June 2021 through 11 June 2021
ER -