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基于固定目标权重的量子搜索算法

马颖 田维坚 樊养余 刘蓉

计算机应用研究2013,Vol.30Issue(1):155-157,3.
计算机应用研究2013,Vol.30Issue(1):155-157,3.DOI:10.3969/j.issn.1001-3695.2013.01.039

基于固定目标权重的量子搜索算法

Quantum search algorithm based on fixed weight target

马颖 1田维坚 2樊养余 1刘蓉1

作者信息

  • 1. 西北工业大学电子信息学院,西安710072
  • 2. 西安工业大学电子信息工程学院,西安710032
  • 折叠

摘要

Abstract

The current quantum search algorithms do not consider the difference of improtance among the targets. To solve this problem, this paper proposed a quantum search algorithm based on distributed weight target. It analyzed the iteration results by changing the amplitude of initial states in superposition state, and demonstrated the conditions in order to keep the quantum searching algorithm still effective with endowing the weight coefficient to target states. Based on this condition,it constructed a new quantum superposition state containing the weight information of target states, and the new algorithm kept the characters of original Grover algorithm as the same time. The simulation results show that this algorithm can search each target state successfully with the probability of endowed weight coefficient.

关键词

量子搜索/权重/Grover算法/量子计算

Key words

quantum search/ weight/ Grover algorithm/ quantum computing

分类

信息技术与安全科学

引用本文复制引用

马颖,田维坚,樊养余,刘蓉..基于固定目标权重的量子搜索算法[J].计算机应用研究,2013,30(1):155-157,3.

基金项目

西安工业大学校长科研基金资助项目(XAGDXJJ1042) (XAGDXJJ1042)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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