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Optimization of partial search

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

A quantum Grover search algorithm can find a target item in a database faster than any classical algorithm. One can trade accuracy for speed and find a part of the database (a block) containing the target item even faster; this is partial search. A partial search algorithm was recently suggested by Grover and Radhakrishnan. Here we optimize it. Efficiency of the search algorithm is measured by the number of queries to the oracle. The author suggests a new version of the Grover-Radhakrishnan algorithm which uses a minimal number of such queries. The algorithm can run on the same hardware that is used for the usual Grover algorithm.

Original languageEnglish
Pages (from-to)L731-L738
JournalJournal of Physics A: Mathematical and General
Volume38
Issue number44
DOIs
StatePublished - Nov 4 2005

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