Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1513980 | Energy Procedia | 2012 | 6 Pages |
Abstract
Grover quantum search algorithm access the unsorted database O(N) times, however, the probability of acquiring solutions usually falls with the increase of the number of solutions, the reason of which is analyzed. To improve the performance of converging and optimizing for the intelligent optimization, some quantum evolutionary algorithms are proposed by domestic and foreign scholars. In this paper, a lot of improved Grover quantum search algorithms are introduced in detail.
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