Multiwavelength Neuromorphic Photonics

Paul R. Prucnal, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira De Lima, Hsuan Tung Peng, Bhavin J. Shastri

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

Abstract

Neuromorphic photonics promises orders of magnitude improvements in both speed and energy efficiency over digital electronics. We will give an overview of neuromorphic photonic systems and their application to optimization and machine learning problems.

Original languageEnglish (US)
Title of host publication2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580576
DOIs
StatePublished - May 2019
Event2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States
Duration: May 5 2019May 10 2019

Publication series

Name2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

Conference

Conference2019 Conference on Lasers and Electro-Optics, CLEO 2019
CountryUnited States
CitySan Jose
Period5/5/195/10/19

All Science Journal Classification (ASJC) codes

  • Spectroscopy
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality
  • Management, Monitoring, Policy and Law
  • Electronic, Optical and Magnetic Materials
  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Prucnal, P. R., Tait, A. N., Nahmias, M. A., De Lima, T. F., Peng, H. T., & Shastri, B. J. (2019). Multiwavelength Neuromorphic Photonics. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings [8748940] (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/CLEO.2019.8748940