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English(EN) A Bi-directional Multi-solution Scalable Grover Search Algorithm

新型量子搜索算法BMGS解决了多解可扩展性问题

作者 PulseAugur 编辑部 · [1 个来源] ·

提出了一种名为双向多解可扩展Grover搜索（BMGS）的新型量子搜索算法，以解决现有Grover搜索算法在寻找多个解时的可扩展性问题。这种新颖的方法采用了多段双向搜索策略，允许从多个标记状态并行搜索，而无需合并操作。与最先进的方法相比，BMGS算法展示了更高的效率，对于浅层量子电路所需的迭代次数更少，并实现了s个解的最优O(sqrt(sN))平均复杂度。 AI

影响 这项研究可能导致更高效的量子计算算法来解决复杂的搜索问题。

排序理由 该集群报道了一篇详细介绍一种新算法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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新型量子搜索算法BMGS解决了多解可扩展性问题

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Debanjan Konar, Zain Hafeez, Vaneet Aggarwal ·

    一种双向多解可扩展Grover搜索算法

    arXiv:2404.15616v2 Announce Type: replace-cross Abstract: Grover's search algorithms, including various Partial Grover Searches (PGS), suffer from scaling issues when multiple solutions are sought, as the number of iterations scales with the number of solutions or marked states, …

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