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Quantum Algorithm for the Boolean Hidden Shift Problem

机译:布尔隐藏移位问题的量子算法

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摘要

The hidden shift problem is a natural place to look for new separations between classical and quantum models of computation. One advantage of this problem is its flexibility, since it can be defined for a whole range of functions and a whole range of underlying groups. In a way, this distinguishes it from the hidden subgroup problem where more stringent requirements about the existence of a periodic subgroup have to be made. And yet, the hidden shift problem proves to be rich enough to capture interesting features of problems of algebraic, geometric, and combinatorial flavor. We present a quantum algorithm to identify the hidden shift for any Boolean function. Using Fourier analysis for Boolean functions we relate the time and query complexity of the algorithm to an intrinsic property of the function, namely its minimum influence. We show that for randomly chosen functions the time complexity of the algorithm is polynomial. Based on this we show an average case exponential separation between classical and quantum time complexity. A perhaps interesting aspect of this work is that, while the extremal case of the Boolean hidden shift problem over so-called bent functions can be reduced to a hidden subgroup problem over an abelian group, the more general case studied here does not seem to allow such a reduction.
机译:隐藏的移位问题是寻找经典计算模型和量子计算模型之间新分离的自然地方。此问题的一个优点是它的灵活性,因为可以为整个功能范围和所有底层组定义它。从某种意义上说,这与隐藏的子组问题有所不同,在隐藏的子组问题中,对周期性子组的存在必须提出更严格的要求。然而,事实证明,隐藏的移位问题足够丰富,可以捕获代数,几何和组合味问题的有趣特征。我们提出一种量子算法来识别任何布尔函数的隐藏移位。使用布尔函数的傅里叶分析,我们将算法的时间和查询复杂度与函数的固有属性(即最小影响)相关联。我们表明,对于随机选择的函数,算法的时间复杂度是多项式。基于此,我们显示了经典时间和量子时间复杂度之间的平均情况指数分隔。这项工作的一个有趣的方面是,尽管可以将所谓弯曲函数上的布尔隐藏移位问题的极端情况简化为阿贝尔群上的隐藏子组问题,但这里研究的更一般的情况似乎不允许这样的减少。

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