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arXiv quant-ph/0503205quant-ph
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另一种量子搜索

A different kind of quantum search

Lov K. Grover

摘要:

量子搜索算法由选择性反转和扩散型操作的交替序列组成,其结果是它可以在大小为N的未排序数据库中仅在sqrt(N)个查询中找到目标状态。本文表明,通过用Pi/3的选择性相移代替选择性求逆,该算法得到了类似于经典搜索算法的东西。就像经典的搜索算法,该算法在状态空间中有一个固定点,它优先收敛。相比之下,原始的量子搜索算法在二维状态空间中均匀移动。这一特点导致强大的搜索算法,也概念上的新方案纠错。

英文摘要:

The quantum search algorithm consists of an alternating sequence of selective inversions and diffusion type operations, as a result of which it can find a target state in an unsorted database of size N in only sqrt(N) queries. This paper shows that by replacing the selective inversions by selective phase shifts of Pi/3, the algorithm gets transformed into something similar to a classical search algorithm. Just like classical search algorithms this algorithm has a fixed point in state-space toward which it preferentially converges. In contrast, the original quantum search algorithm moves uniformly in a two-dimensional state space. This feature leads to robust search algorithms and also to conceptually new schemes for error correction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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