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Photonic computing needs more nonlinearity: Acoustics can help

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Summary
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78% Informative

Researchers in the Stiller Research Group at the Max Planck Institute for the Science of Light have shown an all-optically controlled activation function based on traveling sound waves.

The nonlinear activation function is essential for deep learning models to learn to solve complex tasks.

It is suitable for a wide range of optical neural networks based on light propagation.

Sound waves as a mediator for an effective photonic activation function.

Sound waves can be used to transform the weighted sum of inputs into an artificial neural network.

The optical information does not have to leave the optical domain and is directly processed in optical fibers or photonic waveguides.

The versatile control of the nonlinear activation function with the help of sound waves allows the implementation of the scheme in existing optical fiber systems.

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