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Upper Bounds on Communication in Terms of Approximate Rank

机译:在近似级别的通信上的上限

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We show that any Boolean function with approximate rank r can be computed by bounded error quantum protocols without prior entanglement of complexity O(r~(1/2)log r). In addition, we show that any Boolean function with approximate rank r and discrepancy δ can be computed by deterministic protocols of complexity O(r), and private coin bounded error randomized protocols of complexity O((1/δ)~2 + log r). Our deterministic upper bound in terms of approximate rank is tight up to constant factors, and the dependence on discrepancy in our randomized upper bound is tight up to taking square-roots. Our results can be used to obtain lower bounds on approximate rank. We also obtain a strengthening of Newman's theorem with respect to approximate rank.
机译:我们表明,任何具有近似等级R的布尔函数都可以通过有界误差量子协议计算,而无需对复杂度O(R〜(1/2)log r)的先前纠缠。 另外,我们表明,可以通过近似ratly r和差异Δ的任何布尔函数通过确定性协议来计算复杂性O(r),并且私有硬币界限误差随机组成的复杂性O((1 /Δ)〜2 + log r )。 我们的确定性上限在近似级别的级别紧急达到恒定因素,并且对随机上限的差异的依赖性紧紧达到平方根。 我们的结果可用于获得近似等级的下限。 我们还获得了对近似级别的纽曼的定理。

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