Silicon Photonic Modulator Neuron

Alexander N. Tait, Thomas Ferreira de Lima, Mitchell A. Nahmias, Heidi B. Miller, Hsuan-Tung Peng, Bhavin J. Shastri, Paul R. Prucnal · Physical Review Applied · 2019

Neural networks based on optoelectronics could be more than a million times as fast as electronic implementations, opening uncharted regimes of information processing. Despite advances in laser-based neurons and programmable Si photonic interconnects, a photonic neuron compatible with a photonic network is missing. These challenges could be addressed by photonic-modulator-based neurons that were integrable on the same platform as Si interconnects. The authors fabricate a Si photonic-modulator neuron and observe all essential networking properties of fan-in, cascadability, and high-gain nonlinearity, plus programmable, multi-input, time-resolved, and self-feedback processing behaviors.

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