• DocumentCode
    2895517
  • Title

    An implementation of compact genetic algorithm on a quantum computer

  • Author

    Yingchareonthawornchai, Sorrachai ; Aporntewan, Chatchawit ; Chongstitvatana, Prabhas

  • Author_Institution
    Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2012
  • fDate
    May 30 2012-June 1 2012
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    Programming a quantum computer posts a challenge. It is not straight forward to transfer the current programming skill on a classical computer to a quantum computer. This work presents an example of programming a quantum computer. The compact genetic algorithm is used as a target as it is powerful and popular method in evolutionary computation. A quantum bit (qubit) concept was introduced as a basis for storing information. The representation of quantum register has benefits over classical computing, i.e. the quantum operation allows manipulating qubits in the way that it is impossible in a classical computer. This paper demonstrates the enhancement in terms of solution quality and speed introduced by quantum computation. The simulation of quantum computing is carried out for solving a problem using the compact genetic algorithm.
  • Keywords
    evolutionary computation; genetic algorithms; quantum computing; compact genetic algorithm implementation; evolutionary computation; information storage; quantum bit; quantum computer programming; quantum register representation; qubit manipulation; solution quality; Computers; Educational institutions; Genetic algorithms; Logic gates; Quantum computing; Registers; Vectors; Compact Genetic Algorithms; Genetic algorithms; Quantum Computers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4673-1920-1
  • Type

    conf

  • DOI
    10.1109/JCSSE.2012.6261939
  • Filename
    6261939