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Quantum Algorithms for Computational Geometry Problems

机译:计算几何问题的量子算法

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We study quantum algorithms for problems in computational geometry, such as Point-On-3-Lines problem. In this problem, we are given a set of lines and we are asked to find a point that lies on at least 3 of these lines. Point-On-3-Lines and many other computational geometry problems are known to be 3Sum-Hard. That is, solving them classically requires time ??(n^{2-o(1)}), unless there is faster algorithm for the well known 3Sum problem (in which we are given a set S of n integers and have to determine if there are a, b, c a^^ S such that a + b + c = 0). Quantumly, 3Sum can be solved in time O(n log n) using Grovera??s quantum search algorithm. This leads to a question: can we solve Point-On-3-Lines and other 3Sum-Hard problems in O(n^c) time quantumly, for c2? We answer this question affirmatively, by constructing a quantum algorithm that solves Point-On-3-Lines in time O(n^{1 + o(1)}). The algorithm combines recursive use of amplitude amplification with geometrical ideas. We show that the same ideas give O(n^{1 + o(1)}) time algorithm for many 3Sum-Hard geometrical problems.
机译:我们研究计算几何中的问题算法,例如3行问题。在这个问题中,我们被赋予了一系列线,我们被要求找到一个位于这些行中至少3个线的点。众所周知,3行和许多其他计算几何问题是3Sum - 硬。也就是说,通过众所周知的3Sum问题存在更快的算法(N ^ {2-O(1)})来解决它们,除非有众所周知的3SUM问题(其中给出了N个整数的集合S,且必须确定如果有一个,b,ca ^^ s,例如a + b + c = 0)。量化,3SUM可以使用格罗波拉Quantum搜索算法在时间O(n log n)中解决。这会导致一个问题:对于C <2,我们可以在O(n ^ c)时间内解决3行和其他3次难题吗?我们通过构建一个量子算法来肯定地回答这个问题,该量子算法在时间o(n ^ {1 + o(1)})中解决了3行。该算法将递归使用幅度放大与几何思想相结合。我们表明,同样的想法给出了许多3Sum硬几何问题的O(n ^ {1 + o(1)})时间算法。

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