Abstract
We experimentally demonstrate an optical neural network whose fundamental building blocks are controllable ultrafast quadratic nonlinear pulse-propagation processes. The network is trained in situ by a new backpropagation algorithm that generalizes to arbitrary physical systems.
© 2021 The Author(s)
PDF Article | Presentation VideoMore Like This
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
FF1A.4 CLEO: QELS_Fundamental Science (CLEO:FS) 2021
Tyler W. Hughes, Momchil Minkov, Ian A. D. Williamson, Yu Shi, and Shanhui Fan
JF3F.2 CLEO: Applications and Technology (CLEO:A&T) 2019
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
NpM3G.4 Nonlinear Photonics (NP) 2022