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Conferences > ACPC > 2021 > T1E > T1E.4

Noise and Scalability Investigation of SOA-based All-optical Photonic Deep Neural Network

Bin Shi, Bitao Pan, Nicola Calabretta, and Ripalta Stabile

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Abstract

We emulate and experimentally validate the scaling of SOA-based all-optical deep neural networks by accurately modeling the OSNR degradation in a chain of SOAs: The photonic neural network can scale up to 16 layers when using only 4 neurons/layer without notable accuracy degradation.

© 2021 The Author(s)

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