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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.40