• DocumentCode
    2743571
  • Title

    Toward a Framework for Quantum Evolutionary Computation

  • Author

    Sofge, Donald A.

  • Author_Institution
    Navy Center for Appl. Res. in Artificial Intelligence, Naval Res. Lab., Washington, DC
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Biological evolution provides an immensely powerful toolset for problem solving, while evolutionary computation attempts to harness the power of biological evolution for solving problems using classical computing paradigms. Quantum computing offers many apparent advantages over classical computing for certain types of problems, such as searching or optimizing over large solution sets. Once practical quantum computers are available, we would like to take advantage of their highly parallel computing capabilities for use in evolutionary computation. In this work we explore the nexus between quantum and evolutionary computation, and propose an approach toward a practical framework for performing evolutionary computation on quantum computers
  • Keywords
    evolutionary computation; quantum computing; biological evolution; parallel computing; problem solving; quantum evolutionary computation; Biology computing; Concurrent computing; Evolution (biology); Evolutionary computation; Laboratories; Military computing; Physics computing; Polynomials; Quantum computing; Quantum mechanics; biological evolution; evolutionary computation; quantum computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0023-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2006.252360
  • Filename
    4017919