• DocumentCode
    36886
  • Title

    High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser

  • Author

    Brunner, D. ; Soriano, M.C. ; Fischer, I.

  • Author_Institution
    Inst. de Fis. Interdisciplinar y Sist. Complejos, Palma de Mallorca, Spain
  • Volume
    25
  • Issue
    17
  • fYear
    2013
  • fDate
    Sept.1, 2013
  • Firstpage
    1680
  • Lastpage
    1683
  • Abstract
    Using induced transient dynamics of a standard telecommunication laser, we perform optical computation at high data rates. Employing time-multiplexing, we emulate a nonlinear photonic network via a single laser diode. Based on the induced dynamics of the network, a machine learning technique is implemented. We compute the multiplication of a scalar with a vector, vector dot and cross products, and the multiplication of a matrix and a vector, using the same system. Information is injected all-optically at a rate of 5 GSamples/s, allowing for up to 5·108 operations per second.
  • Keywords
    high-speed optical techniques; learning (artificial intelligence); matrix algebra; multiplexing; nonlinear optics; optical computing; optical engineering computing; optical information processing; semiconductor lasers; telecommunication computing; vectors; induced transient dynamics; machine learning technique; matrix operation; nonlinear photonic network; optical computation; optical vector operation; semiconductor laser; standard telecommunication laser; time-multiplexing; Information processing; Nonlinear optics; Photonics; Reservoirs; Semiconductor lasers; Transient analysis; Vectors; Optical computing; analog computers; nonlinear optics; semiconductor lasers;
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2013.2273373
  • Filename
    6558807