• DocumentCode
    234931
  • Title

    Quantum Algorithm for Polynomial Root Finding Problem

  • Author

    Sun Guodong ; Su Shenghui ; Xu Maozhi

  • Author_Institution
    Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    469
  • Lastpage
    473
  • Abstract
    Quantum computation is a new computing model based on fundamental quantum mechanical principle. Grover´s algorithm finds the solution for a searching problem in the square root time of exhaustive search. Brassard, Hoyer, Tapp´s algorithm counts the number of solutions for a searching problem. Through exploiting the two quantum algorithms, we propose a quantum algorithm for solving a new cryptography problem -- polynomial root finding problem, which could be used to design a cryptosystem. The algorithm will take O(rootM/t) steps for finding one of the t solutions to the problem, where M is the modular of the equation. The success rate of the algorithm is a constant and the cost of the algorithm depends on the calculations of modular exponentiation and the number of iterations.
  • Keywords
    computational complexity; cryptography; quantum computing; Brassard-Hoyer-Tapp´s algorithm; Grover´s algorithm; O(rootM/t) steps; cryptography problem; cryptosystem; exhaustive search; fundamental quantum mechanical principle; polynomial root finding problem; quantum computation; quantum computing model; searching problem; square root time; Algorithm design and analysis; Cryptography; Polynomials; Quantum computing; Quantum mechanics; Search problems; Polynomial root finding problem; Quantum counting; Quantum searching; Signature algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.40
  • Filename
    7016940