Demonstrating completeness in optical neural computing
Abstract
A silicon photonic deep optical neural network integrating convolutional and fully connected layers with on-chip optoelectronic nonlinear activations operates with partially coherent light to achieve high-speed, energy-efficient, end-to-end inference. This demonstration establishes a functional and scalable platform for evaluating complete optical neural processing, representing another step toward specialised, ultrafast photonic architectures beyond electronics.
Fields of Study & Subjects
Neural Networks and Reservoir Computing
Photonic and Optical Devices
Advanced Memory and Neural Computing
Publication details
- Journal / source
- Light Science & Applications
- Volume
- 15
- Issue
- 1
- Pages
- 39–39
- Publication date
- 3 January 2026
- Language
- EN