Skip to main navigation Skip to search Skip to main content

Binary quantum search

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We consider a database with one target item. Partial search is designed to find a part of the database [a block] containing the target item. After a user finds the target block he/she might want to make another partial search: subdivide the target block into sub-blocks and look for a sub-block containing the target item. An example: if we need to go to a hotel, we first look at a State map [to find highways] and then at a town map [to find a local approach to the hotel]. Number of queries necessary for sequential searches is calculated in the paper. Sequential partial search can be done faster the first one.

Original languageEnglish
Title of host publicationQuantum Information and Computation V
DOIs
StatePublished - 2007
EventQuantum Information and Computation V - Orlando, FL, United States
Duration: Apr 10 2007Apr 12 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6573
ISSN (Print)0277-786X

Conference

ConferenceQuantum Information and Computation V
Country/TerritoryUnited States
CityOrlando, FL
Period04/10/0704/12/07

Keywords

  • Binary search
  • Grover algorithm
  • Grover oracle
  • Partial search
  • Quantum search
  • Unsorted database

Fingerprint

Dive into the research topics of 'Binary quantum search'. Together they form a unique fingerprint.

Cite this