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Quantum Algorithm for Polynomial Root Finding Problem

Authors :
Sun Guodong
Su Shenghui
Xu Maozhi
Source :
CIS
Publication Year :
2014
Publisher :
IEEE, 2014.

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.

Details

Database :
OpenAIRE
Journal :
2014 Tenth International Conference on Computational Intelligence and Security
Accession number :
edsair.doi...........36631cc7320a25e809bdfffdd738ae94
Full Text :
https://doi.org/10.1109/cis.2014.40