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Quest for fast partial search algorithm

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The Grover quantum algorithm can find a target item in a database faster than any classical algorithm. In partial search, one trades accuracy for speed, and a part of the database (a block) containing the target item can be found even faster. We consider different partial search algorithms and argue that the algorithm originally suggested by Grover and Radhakrishnan and modified by Korepin is the optimal one. The efficiency of an algorithm is measured by the number of queries to the oracle.

Original languageEnglish
Pages (from-to)209-226
Number of pages18
JournalQuantum Information Processing
Volume5
Issue number3
DOIs
StatePublished - Jun 2006

Keywords

  • Groves algorithm
  • Partial search
  • Quantum algorithms
  • Searching and sorting

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