• DocumentCode
    2784982
  • Title

    Quantum image processing (QuIP)

  • Author

    Beach, Glenn ; Lomont, Chris ; Cohen, Charles

  • Author_Institution
    Cybernet Syst. Corp., Ann Arbor, MI, USA
  • fYear
    2003
  • fDate
    15-17 Oct. 2003
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    Moore´s law states that computing performance doubles every 18 months. While this has held true for 40 years, it is widely believed that this will soon come to an end. Quantum computation offers a potential solution to the eventual failure of Moore´s law. Researchers have shown that efficient quantum algorithms exist and can perform some calculations significantly faster than classical computers. Quantum computers require very different algorithms than classical computers, so the challenge of quantum computation is to develop efficient quantum algorithms. Cybernet is working with the Air Force Research Laboratory (AFRL) to create image processing algorithms for quantum computers. We have shown that existing quantum algorithms (such as Grover´s algorithm) are applicable to image processing tasks. We are continuing to identify other areas of image processing which can be improved through the application of quantum computing.
  • Keywords
    computation theory; image processing; quantum computing; Air Force Research Laboratory; Cybernet; Grover´s algorithm; Moore´s law; classical computers; image processing algorithms; quantum algorithms; quantum computation; quantum computers; quantum computing; quantum image processing; Application software; Computational modeling; Computer simulation; Image processing; Military computing; Moore´s Law; Physics computing; Quantum computing; Quantum entanglement; Quantum mechanics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
  • Print_ISBN
    0-7695-2029-4
  • Type

    conf

  • DOI
    10.1109/AIPR.2003.1284246
  • Filename
    1284246