18 citations · 18 across the 2 of their papers we have counts for
4 papers
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Hybrid training of optical neural networks
James Spall, Xianxin Guo, A. I. Lvovsky
Optical neural networks are emerging as a promising type of machine learning hardware capable of energy-efficient, parallel computation. Today's optical neural networks are mainly…
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…
Backpropagation through nonlinear units for all-optical training of neural networks
Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang +1
Backpropagation through nonlinear neurons is an outstanding challenge to the field of optical neural networks and the major conceptual barrier to all-optical training schemes. Each…