• DocumentCode
    2196322
  • Title

    Evolution of quantum computer algorithms from reversible operators

  • Author

    Surkan, Alvin J. ; Khuskivadze, Amiran

  • Author_Institution
    Dept. of Comput. Sci., Nebraska Univ., Lincoln, NE, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    186
  • Lastpage
    187
  • Abstract
    An application of an evolutionary approach to hardware design is presented. A genetic algorithm was developed to discover good designs for quantum computer algorithms. The algorithms are expressed as quantum operator sequences applied in a circuit model. The circuits discovered are configurations of special purpose quantum computers. We have been exploring the evolution of algorithms as alternative configurations of hardware. By simulation it is established that the circuits will correctly compute a small collection of basic, low-level functions. Experiments produced designs for primitive quantum computers that evaluate logical or arithmetic functions with a total of twelve or fewer inputs and outputs.
  • Keywords
    evolutionary computation; genetic algorithms; quantum computing; arithmetic functions; evolutionary approach; genetic algorithm; hardware design; quantum computer algorithms; quantum operator sequences; reversible operators; simulation; Algorithm design and analysis; Application software; Circuit simulation; Circuit synthesis; Circuit testing; Computational modeling; Genetic algorithms; Genetic programming; Hardware; Quantum computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolvable Hardware, 2002. Proceedings. NASA/DoD Conference on
  • Print_ISBN
    0-7695-1718-8
  • Type

    conf

  • DOI
    10.1109/EH.2002.1029884
  • Filename
    1029884