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Photonics Research, Volume. 9, Issue 4, B128(2021)

Free-space optical neural network based on thermal atomic nonlinearity

Albert Ryou1、*, James Whitehead1, Maksym Zhelyeznyakov1, Paul Anderson2,3, Cem Keskin4, Michal Bajcsy3,5, and Arka Majumdar1,6
Author Affiliations
  • 1Department of Electrical and Computer Engineering, University of Washington, Seattle, Washington 98195, USA
  • 2Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario ON N2L 3G1, Canada
  • 3Institute of Quantum Computing, University of Waterloo, Waterloo, Ontario ON N2L 3G1, Canada
  • 4Google, Mountain View, California 94043, USA
  • 5Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario ON N2L 3G1, Canada
  • 6Department of Physics, University of Washington, Seattle, Washington 98195, USA
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    Article index updated: Mar. 9, 2025

    Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.
    The article is cited by 61 article(s) from Web of Science.
    The article is cited by 3 article(s) CLP online library. (Some content might be in Chinese.)
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    Albert Ryou, James Whitehead, Maksym Zhelyeznyakov, Paul Anderson, Cem Keskin, Michal Bajcsy, Arka Majumdar, "Free-space optical neural network based on thermal atomic nonlinearity," Photonics Res. 9, B128 (2021)

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Nov. 30, 2020

    Accepted: Feb. 7, 2021

    Published Online: Apr. 6, 2021

    The Author Email: Albert Ryou (albertryou@gmail.com)

    DOI:10.1364/PRJ.415964

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology