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Deep nonlinear optical neural networks trained with in situ backpropagation

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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)

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