Year: 2019
Type: article
Abstract: 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.
Source: Physical Review Applied
Institution: Princeton University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2906829733