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 |
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Pages (from-to) | 1170-1184 |
Number of pages | 15 |
Journal | SIAM Journal on Optimization |
Volume | 15 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2005 |