Attojoule Modulators for Photonic Neuromorphic Computing

Rubab Amin, Jonathan George, Jacob Khurgin, Tarek El-Ghazawi, Paul Richard Prucnal, Volker J. Sorger

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

2 Scopus citations

Abstract

We show how the nonlinear transfer function of electrooptic modulators enables vector matrix multiplications of photonic neural networks. Here the modulators energy-per-bit function and signal-to-noise ratio are critical factors impacting system performance.

Original languageEnglish (US)
Title of host publication2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781943580422
StatePublished - Aug 6 2018
Event2018 Conference on Lasers and Electro-Optics, CLEO 2018 - San Jose, United States
Duration: May 13 2018May 18 2018

Other

Other2018 Conference on Lasers and Electro-Optics, CLEO 2018
CountryUnited States
CitySan Jose
Period5/13/185/18/18

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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    Amin, R., George, J., Khurgin, J., El-Ghazawi, T., Prucnal, P. R., & Sorger, V. J. (2018). Attojoule Modulators for Photonic Neuromorphic Computing. In 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings [8426299] Institute of Electrical and Electronics Engineers Inc..