arXiv Analytics

Sign in

arXiv:quant-ph/0503238AbstractReferencesReviewsResources

Optimization of Partial Search

Vladimir Korepin

Published 2005-03-31, updated 2005-09-05Version 2

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 number of queries to the oracle. The author suggests new version of Grover-Radhakrishnan algorithm which uses minimal number of queries to the oracle. The algorithm can run on the same hardware which is used for the usual Grover algorithm.

Comments: 5 pages
Journal: Journal of Physics A: Math. Gen. vol 38, pages L731-L738, 2005
Categories: quant-ph, cs.DS
Related articles: Most relevant | Search more
arXiv:2311.15587 [quant-ph] (Published 2023-11-27)
Quantum Langevin Dynamics for Optimization
arXiv:quant-ph/9809055 (Published 1998-09-17, updated 1998-09-18)
An Optimization for Qubiter
arXiv:quant-ph/0607123 (Published 2006-07-18, updated 2006-11-08)
Towards optimization of quantum circuits