Add to BibSonomyAbstract
Analog photonic networks as deep learning hardware accelerators are trained on standard digital electronics. We propose an on-chip training of neural networks enabled by a silicon photonic architecture for parallel, efficient, and fast data operations.
© 2022 IEEE
PDF ArticleMore Like This
Silicon Photonics Neural Networks for Training and Inference
Bhavin J. Shastri, Matthew J. Filipovich, Zhimu Guo, Paul R. Prucnal, Sudip Shekhar, and Volker J. Sorger
NeW2D.2 Photonic Networks and Devices (Networks) 2022
Silicon Photonics for Machine Learning: Training and Inference
B. J. Shastri, M. J. Filipovich, Z. Guo, P. R. Prucnal, C. Huang, A. N. Tait, S. Shekhar, and V. J. Sorger
Tu4G.1 European Conference and Exhibition on Optical Communication (ECOC) 2022
In situ Training of Silicon Photonic Neural Networks: from Classical to Quantum
Bhavin J. Shastri, Volker Sorger, and Nir Rotenberg
SM4J.1 CLEO: Science and Innovations (CLEO:S&I) 2023