TY - JOUR
T1 - Inference and Gradient Measurement for Backpropagation in Photonic Neural Networks
AU - Pai, Sunil
AU - Hughes, Tyler W.
AU - Park, Taewon
AU - Bartlett, Ben
AU - Williamson, Ian
AU - Minkov, Momchil
AU - Milanizadeh, Maziyar
AU - Abebe, Nathnael
AU - Morichetti, Francesco
AU - Melloni, Andrea
AU - Solgaard, Olav
AU - Fan, Shanhui
AU - Miller, David A.B.
N1 - Publisher Copyright:
© Optica Publishing Group 2022, © 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - We experimentally demonstrate in situ backpropagation in a programmable nanophotonic interferometer network, achieving inference accuracies matching digital implementations. Error gradients are computed by simultaneously measuring optical interference at intermediate network components, eliminating expensive digital computations.
AB - We experimentally demonstrate in situ backpropagation in a programmable nanophotonic interferometer network, achieving inference accuracies matching digital implementations. Error gradients are computed by simultaneously measuring optical interference at intermediate network components, eliminating expensive digital computations.
UR - http://www.scopus.com/inward/record.url?scp=85136796760&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85136796760
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - STh5G.2
T2 - CLEO: Science and Innovations, S and I 2022
Y2 - 15 May 2022 through 20 May 2022
ER -