Silicon Photonics Neural Networks for Training and Inference

Bhavin J. Shastri, Matthew J. Filipovich, Zhimu Guo, Paul R. Prucnal, Sudip Shekhar, Volker J. Sorger

Research output: Contribution to journalConference articlepeer-review


Deep learning hardware accelerators based on analog photonic networks are trained on standard digital electronics. We discuss on-chip training of neural networks enabled by a silicon photonic architecture for parallel, efficient, and fast data operations.

Original languageEnglish (US)
Article numberNeW2D.2
JournalOptics InfoBase Conference Papers
StatePublished - 2022
EventPhotonic Networks and Devices, Networks 2022 - Maastricht, Netherlands
Duration: Jul 24 2022Jul 28 2022

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials


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