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05/17/2022
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Neural networks are widely deployed models across many scientific discip...
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03/01/2020
Inverse design of photonic crystals through automatic differentiation
Gradient-based inverse design in photonics has already achieved remarkab...
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09/11/2019
Parallel fault-tolerant programming of an arbitrary feedforward photonic network
Reconfigurable photonic mesh networks of tunable beamsplitter nodes can ...
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08/28/2019
Forward-Mode Differentiation of Maxwell's Equations
We present a previously unexplored forward-mode differentiation method f...
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04/29/2019
Wave Physics as an Analog Recurrent Neural Network
Analog machine learning hardware platforms promise to be faster and more...
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03/12/2019
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
We introduce an electro-optic hardware platform for nonlinear activation...
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05/25/2018