An Efficient Exact Quantum Algorithm for the Integer Square-free Decomposition Problem

被引:17
作者
Li, Jun [1 ,2 ]
Peng, Xinhua [1 ,2 ]
Du, Jiangfeng [1 ,2 ]
Suter, Dieter [3 ]
机构
[1] Univ Sci & Technol China, Hefei Natl Lab Phys Sci Microscale, Hefei 230026, Anhui, Peoples R China
[2] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Anhui, Peoples R China
[3] Tech Univ Dortmund, Fak Phys, D-44221 Dortmund, Germany
基金
中国国家自然科学基金;
关键词
GAUSS SUMS; FACTORIZATION; NUMBERS; COMPLEXITY;
D O I
10.1038/srep00260
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Quantum computers are known to be qualitatively more powerful than classical computers, but so far only a small number of different algorithms have been discovered that actually use this potential. It would therefore be highly desirable to develop other types of quantum algorithms that widen the range of possible applications. Here we propose an efficient and exact quantum algorithm for finding the square-free part of a large integer - a problem for which no efficient classical algorithm exists. The algorithm relies on properties of Gauss sums and uses the quantum Fourier transform. We give an explicit quantum network for the algorithm. Our algorithm introduces new concepts and methods that have not been used in quantum information processing so far and may be applicable to a wider class of problems.
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页数:5
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