Classical simulation of one-query quantum distinguishers

Andrej Bogdanov, T. Cheung, K. Dinesh, John C.S. Lui
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引用次数: 1

Abstract

We study the relative advantage of classical and quantum distinguishers of bounded query complexity over n -bit strings, focusing on the case of a single quantum query. A construction of Aaronson and Ambainis (STOC 2015) yields a pair of distributions that is ε -distinguishable by a one-query quantum algorithm, but O ( εk/ √ n )-indistinguishable by any non-adaptive k -query classical algorithm. We show that every pair of distributions that is ε -distinguishable by a one-query quantum algorithm is distinguishable with k classical queries and (1) advantage min { Ω( ε p k/n )) , Ω( ε 2 k 2 /n ) } non-adaptively (i.e., in one round), and (2) advantage Ω( ε 2 k/ √ n log n ) in two rounds. As part of our analysis, we introduce a general method for converting unbiased estimators into distinguishers.
单查询量子区分符的经典模拟
我们研究了n位字符串上有界查询复杂度的经典区分符和量子区分符的相对优势,重点研究了单个量子查询的情况。Aaronson和Ambainis (STOC 2015)的构造得到了一对分布,ε -可被单查询量子算法区分,但O (εk/√n)-无法被任何非自适应k -查询经典算法区分。我们证明了每一对由单查询量子算法ε -可分辨的分布都可以用k个经典查询和(1)优势min {Ω(ε p k/n)), Ω(ε 2 k 2 /n)}非自适应(即一轮)和(2)优势Ω(ε 2 k/√n log n)在两轮中区分。作为分析的一部分,我们介绍了将无偏估计量转换为区分量的一般方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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