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).