• Photonics Research
  • Vol. 9, Issue 4, B128 (2021)
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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    DOI: 10.1364/PRJ.415964 Cite this Article Set citation alerts
    Albert Ryou, James Whitehead, Maksym Zhelyeznyakov, Paul Anderson, Cem Keskin, Michal Bajcsy, Arka Majumdar. Free-space optical neural network based on thermal atomic nonlinearity[J]. Photonics Research, 2021, 9(4): B128 Copy Citation Text show less
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    CLP Journals

    [1] Li Gao, Yang Chai, Darko Zibar, Zongfu Yu. Deep learning in photonics: introduction[J]. Photonics Research, 2021, 9(8): DLP1

    Albert Ryou, James Whitehead, Maksym Zhelyeznyakov, Paul Anderson, Cem Keskin, Michal Bajcsy, Arka Majumdar. Free-space optical neural network based on thermal atomic nonlinearity[J]. Photonics Research, 2021, 9(4): B128
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