• DocumentCode
    2330571
  • Title

    A study on neuromorphic quantum computation

  • Author

    Sato, Shigeo ; Kinjo, Mitsunaga ; Takahashi, Osamu ; Nakamiya, Yuuki ; Nakajima, Koji

  • Author_Institution
    Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
  • Volume
    4
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    3253
  • Abstract
    A quantum computer employing a single quantum as a qubit executes real parallel computation. Several algorithms have been proposed for quantum computation. However, these algorithms are applicable only to a limited number of applications. Therefore, a general purpose algorithm should be studied and developed for practical use in the near future. We focus on the adiabatic evolution algorithm in order to incorporate an artificial neural network(ANN)-like method and discuss how to use this algorithm for solving an optimization problem.
  • Keywords
    artificial intelligence; evolutionary computation; neural nets; optimisation; quantum computing; adiabatic evolution algorithm; artificial neural network; neuromorphic quantum computation; optimization problem; parallel computation; quantum computer; qubit network; Application software; Artificial neural networks; Concurrent computing; Hopfield neural networks; Neural networks; Neuromorphics; Neurons; Numerical simulation; Quantum computing; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • Conference_Location
    Budapest
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1381200
  • Filename
    1381200