85 citations · 254 across the 9 of their papers we have counts for
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physics.optics2023★ 26 cited
Training neural networks with end-to-end optical backpropagation
James Spall, Xianxin Guo, A. I. Lvovsky
Optics is an exciting route for the next generation of computing hardware for machine learning, promising several orders of magnitude enhancement in both computational speed and en…
physics.optics2020★ 85 cited
Fully reconfigurable coherent optical vector-matrix multiplication
James Spall, Xianxin Guo, Thomas D. Barrett +1
Optics is a promising platform in which to help realise the next generation of fast, parallel and energy-efficient computation. We demonstrate a reconfigurable free-space optical m…