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AN INFORMATION-THEORETIC ANALYSIS OF GROVER'S ALGORITHM

机译:GROVER算法的信息理论分析

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摘要

Grover discovered a quantum algorithm for identifying a target element in an unstructured search universe of N items in approximately π/4N~(1/2) queries to a quantum oracle. For classical search using a classical oracle, the search complexity is of order N/2 queries since on average half of the items must be searched. In work preceding Grover's, Bennett et al. had shown that no quantum algorithm can solve the search problem in fewer than O(N~(1/2) queries. Thus, Grover's algorithm has optimal order of complexity. Here, we present an information-theoretic analysis of Grover's algorithm and show that the square-root speed-up by Grover's algorithm is the best possible by any algorithm using the same quantum oracle.
机译:格罗弗发现了一种量子算法,用于在对量子先知的大约π/ 4N〜(1/2)查询中,识别N个项目的非结构化搜索宇宙中的目标元素。对于使用经典Oracle的经典搜索,搜索复杂度为N / 2个查询,因为平均必须搜索一半的项目。 Bennett等人在Grover之前的工作中。证明没有任何一种量子算法可以解决少于O(N〜(1/2)个查询的搜索问题,因此,格罗弗算法具有最佳的复杂度顺序。在这里,我们对格罗弗算法进行信息理论分析,并证明Grover算法的平方根加速是使用相同量子预言机的任何算法中最好的。

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