(Enter summary)
Abstract: Consider a Boolean function : X ! f0; 1g that partitions set
X between its good and bad elements, where x is good if (x) = 1
and bad otherwise. Consider also a quantum algorithm A such that
Aj0i =
P
x2X
x jxi is a quantum superposition of the elements of X ,
and let a denote the probability that a good element is produced if
Aj0i is measured. If we repeat the process of running A, measuring
the output, and using to check the validity of the result, we shall
expect to repeat 1=a... (Update)
Context of citations to this paper: More
.... and eigenvalues also provides an alternative analysis of the searching and amplitude amplification algorithms as detailed in [8] and summarised in Section 5. Section 5 also shows how to combine the quantum counting algorithm of Section 4 with exact searching methods...
...can be 2 n; thus the probability that the right partition has been chosen is . By method of quantum amplitude amplification [2], if a quantum algorithm running once gives some result with probablity , then running the algorithm O( p) times giving the same result with...
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BibTeX entry: (Update)
G. Brassard, P. Høyer, M. Mosca, and A. Tapp. Quantum amplitude amplification and estimation. Forthcoming. http://citeseer.ist.psu.edu/brassard00quantum.html More
@misc{ brassard-quantum,
author = "G. Brassard and P. Hoyer and M. Mosca and A. Tapp",
title = "Quantum amplitude amplification and estimation",
text = "G. Brassard, P. Høyer, M. Mosca, and A. Tapp. Quantum amplitude amplification
and estimation. Forthcoming.",
url = "citeseer.ist.psu.edu/brassard00quantum.html" }
Citations (may not include all citations):
210
A fast quantum mechanical algorithm for database search
- Lov - 1996 ACM DBLP
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special issue on quantum computing and quantum cryptography (context) - Michel, Brassard et al. - 1998
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Available at Los Alamos e-Print archive as <http://arXiv (context) - Kitaev - 1995
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yer and Alain Tapp (context) - Gilles - 1998
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