• DocumentCode
    2926123
  • Title

    A Proposal of a Quantum Search Algorithm

  • Author

    Arima, Keisuke ; Shigei, Noritaka ; Miyajima, Hiromi

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Kagoshima Univ., Kagoshima, Japan
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    1559
  • Lastpage
    1564
  • Abstract
    For searching an unsorted database with N items, a classical computer requires O(N) steps but Grover´s quantum searching algorithm requires only O(¿N) steps. However, it is also known that Grover´s algorithm is effective in the case where the initial amplitude distribution of dataset is uniform, but is not always effective in the non-uniform case. In this paper, we will consider the influence of initial amplitude distribution of dataset for Grover´s and Ventura´s algorithms. Further, in order to improve the performance of quantum searching, we propose a new algorithm and analyze its dynamics.
  • Keywords
    database indexing; quantum computing; query formulation; Grover quantum searching algorithm; Ventura algorithms; initial amplitude dataset distribution; quantum search algorithm; unsorted database; Algorithm design and analysis; Data engineering; Databases; Discrete Fourier transforms; Distributed computing; Information technology; Performance analysis; Proposals; Quantum computing; Zinc; Grover´s algorithm; Ventura´s algorithm; initial amplitude distribution; quantum search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.126
  • Filename
    5369930