摘要
本文讨论了基于量子并行计算和叠加态原理的量子搜索算法,并结合概率论,给出了从无结构的海量数据(库)中搜索相关词汇(组)的方法,并说明该方法远远优越于经典搜索算法。
The paper discusses quantum search algorithm based on quantum parallelism and superposition state, and gives a computing way according to Grover's search algorithm and probability to search relevant words from a large volumes of unstructured data, and then describes the algorithm to be optimal( comparing with any classical algorithm).
出处
《原子与分子物理学报》
CAS
CSCD
北大核心
2005年第4期774-776,共3页
Journal of Atomic and Molecular Physics
关键词
量子搜索
叠加态
相关词汇
概率论
Quantum search, Superposition state,Relevant words,Probability Quantum search, Superposition state, Relevant words, Probability