Separations in query complexity using cheat sheets

S. Aaronson, S. Ben-David, Robin Kothari
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引用次数: 79

Abstract

We show a power 2.5 separation between bounded-error randomized and quantum query complexity for a total Boolean function, refuting the widely believed conjecture that the best such separation could only be quadratic (from Grover's algorithm). We also present a total function with a power 4 separation between quantum query complexity and approximate polynomial degree, showing severe limitations on the power of the polynomial method. Finally, we exhibit a total function with a quadratic gap between quantum query complexity and certificate complexity, which is optimal (up to log factors). These separations are shown using a new, general technique that we call the cheat sheet technique, which builds upon the techniques of Ambainis et al. [STOC 2016]. The technique is based on a generic transformation that converts any (possibly partial) function into a new total function with desirable properties for showing separations. The framework also allows many known separations, including some recent breakthrough results of Ambainis et al. [STOC 2016], to be shown in a unified manner.
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使用小抄表分隔查询复杂度
我们展示了总布尔函数的有界误差随机查询复杂度和量子查询复杂度之间的幂2.5分离,驳斥了人们普遍认为最好的这种分离只能是二次的猜想(来自Grover算法)。我们还提出了一个量子查询复杂度和近似多项式度之间的幂4分离的总函数,显示了多项式方法的幂的严重局限性。最后,我们展示了量子查询复杂性和证书复杂性之间的二次差的总函数,这是最优的(最多为对数因子)。这些分离使用了一种新的通用技术,我们称之为小抄技术,该技术建立在Ambainis等人的技术基础上[STOC 2016]。该技术基于将任何(可能是部分)函数转换为具有显示分离所需属性的新全函数的泛型转换。该框架还允许以统一的方式显示许多已知的分离,包括Ambainis等人[STOC 2016]最近的一些突破性结果。
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