• DocumentCode
    2695949
  • Title

    Vieterbi decoder algorithm using quantum computing

  • Author

    Rahhal, Jamal S. ; Abu-Al-Nadi, Dia I. ; Hawa, Mohammed

  • Author_Institution
    Univ. of Jordan, Amman
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    4094
  • Lastpage
    4099
  • Abstract
    Quantum computing promises a leap in performance over classical computing. Its computational power was revealed after the introduction of some quantum algorithms such as Grover´s search algorithm. Many classical algorithms especially that deal with Error Correcting Codes are introduced to solve an exhaustive search problem. The quantum techniques promise an optimal search speed that is of special importance when the size of the searched domain is quite large. In this paper we devise the use of quantum search algorithm introduced by Grover to implement the viterbi algorithm (VA). Due to lack of resources and the nature of implementing quantum algorithms, only theoretical results are obtained. The use of quantum search algorithm showed that we can reduce the number of search computations exponentially. For example if the classical VA requires 262144 searching operations for a signalling length of 1024 intervals, the quantum algorithm will need only 512 searching operations when single search quantum viterbi algorithm (SSQVA) is used. And for the multi search quantum viterbi algorithm (MSQVA) it needs 16384 searching operations for the same signalling length.
  • Keywords
    Viterbi decoding; error correction codes; quantum computing; search problems; Viterbi decoder algorithm; error correcting codes; multi search quantum Viterbi algorithm; quantum computing; search problem; Decoding; Evolutionary computation; Quantum computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4425005
  • Filename
    4425005