TuD3.2-Neuromorphic Silicon Photonics on Foundry and Cryogenic Platforms (Invited)

Alexander Tait, Thomas Ferreira De Lima, Jeffrey Shainline, Sonia Buckley, Adam McCaughan, Mitchell Nahmias, Jeffrey Chiles, Hsuan Tung Peng, Heidi Miller, Saewoo Nam, Richard Mirin, Bhavin Shastri, Paul Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Silicon photonics presents an opportunity for complex, multi-purpose information processing with optoelectronics. Using foundry devices, some photonic neural networks support sub-nanosecond signals. Using cryogenic devices, others support single-photon signals. We compare these platforms and summarize recent experimental results on programmability in photonic neurons and networks.

Original languageEnglish (US)
Title of host publicationIEEE Photonics Society Summer Topical Meeting Series 2019, SUM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728105970
DOIs
StatePublished - Jul 2019
Event2019 IEEE Photonics Society Summer Topical Meeting Series, SUM 2019 - Fort Lauderdale, United States
Duration: Jul 8 2019Jul 10 2019

Publication series

NameIEEE Photonics Society Summer Topical Meeting Series 2019, SUM 2019

Conference

Conference2019 IEEE Photonics Society Summer Topical Meeting Series, SUM 2019
Country/TerritoryUnited States
CityFort Lauderdale
Period7/8/197/10/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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