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Wavelength-Space Domain High-Throughput Artificial Neural Networks by Parallel Photoelectric Matrix Multiplier

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Abstract

We propose a massively parallel neural network architecture with photonic matrix-vector multiplication in the wavelength and space domains with balanced photodetectors and nonlinear transfer functions in MZI modulators. An experimental proof-of-principle demonstration is also discussed.

© 2020 The Author(s)

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