• DocumentCode
    2768168
  • Title

    Self-Organizing Quantum Neural Network

  • Author

    Zhou, Rigui ; Zheng, Hong Yuan ; Jiang, Nan ; Ding, Qiulin

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1067
  • Lastpage
    1072
  • Abstract
    This paper combines quantum computation with conventional artificial neural network theory to present a novel network - self-organizing quantum neural network (SOQNN) that can perform pattern classification self-organizationally and automatically through quantum competitive process. It does not need to prestore some given patterns but can classify input patterns with higher classification rapidity than that of classical neural networks(CNN).Further, SOQNN make the analogical pattern win easily in the next quantum competitive process by modifying the value of the quantum register(QR) corresponding to the pattern classified.
  • Keywords
    neural nets; pattern classification; quantum computing; self-adjusting systems; artificial neural network theory; classification rapidity; pattern classification; quantum competitive process; quantum computation; quantum register; self-organizing quantum neural network; Artificial neural networks; Biology computing; Computer networks; Computer science; Computer science education; Neural networks; Pattern classification; Quantum computing; Quantum mechanics; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246807
  • Filename
    1716218