Quantum searching application in search based software engineering

Nan Wu; FangMin Song; Xiangdong Li

doi:10.1117/12.2018874

28 May 2013 Quantum searching application in search based software engineering

Nan Wu, FangMin Song, Xiangdong Li

Proceedings Volume 8749, Quantum Information and Computation XI; 87490M (2013) https://doi.org/10.1117/12.2018874
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

The Search Based Software Engineering (SBSE) is widely used in software engineering for identifying optimal solutions. However, there is no polynomial-time complexity solution used in the traditional algorithms for SBSE, and that causes the cost very high. In this paper, we analyze and compare several quantum search algorithms that could be applied for SBSE: quantum adiabatic evolution searching algorithm, fixed-point quantum search (FPQS), quantum walks, and a rapid modified Grover quantum searching method. The Grover’s algorithm is thought as the best choice for a large-scaled unstructured data searching and theoretically it can be applicable to any search-space structure and any type of searching problems.

Citation Download Citation

Nan Wu, FangMin Song, and Xiangdong Li "Quantum searching application in search based software engineering", Proc. SPIE 8749, Quantum Information and Computation XI, 87490M (28 May 2013); https://doi.org/10.1117/12.2018874

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