Abstract
Grover's quantum computational search procedure can provide the basis for implementing adaptive global optimization algorithms. A brief overview of the procedure is given and a framework called Grover adaptive search is set up. A method of Dürr and Høyer and one introduced by the authors fit into this framework and are compared.
| Original language | English |
|---|---|
| Pages (from-to) | 1170-1184 |
| Number of pages | 15 |
| Journal | SIAM Journal on Optimization |
| Volume | 15 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2005 |
Bibliographical note
Copyright SIAM Publications. Article archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further information see http://www.siam.org/.Fingerprint
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