2010
DOI: 10.1137/080712167
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Any AND-OR Formula of Size N Can Be Evaluated in Time $N^{1/2+o(1)}$ on a Quantum Computer

Abstract: Consider the problem of evaluating an AND-OR formula on an N -bit black-box input. We present a bounded-error quantum algorithm that solves this problem in time N 1/2+o(1) . In particular, approximately balanced formulas can be evaluated in O( √ N ) queries, which is optimal. The idea of the algorithm is to apply phase estimation to a discrete-time quantum walk on a weighted tree whose spectrum encodes the value of the formula.

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Cited by 129 publications
(164 citation statements)
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“…This suggests that the balanced ternary majority function is significantly different from the balanced k-ary NAND function, for which randomized alphabeta pruning is known to be optimal [40]. In contrast, we show that the optimal quantum algorithm of [4] does extend to give an optimal O(2 d )-query algorithm for evaluating the balanced ternary majority formula. Moreover, the algorithm also generalizes to a significantly larger gate set S.…”
Section: Introductionmentioning
confidence: 80%
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“…This suggests that the balanced ternary majority function is significantly different from the balanced k-ary NAND function, for which randomized alphabeta pruning is known to be optimal [40]. In contrast, we show that the optimal quantum algorithm of [4] does extend to give an optimal O(2 d )-query algorithm for evaluating the balanced ternary majority formula. Moreover, the algorithm also generalizes to a significantly larger gate set S.…”
Section: Introductionmentioning
confidence: 80%
“…Although the relationship between span programs, the general adversary bound and quantum query complexity has been resolved, there remain numerous open problems, including most of the problems from our earlier work [4]. Specifically, for evaluating formulas, the optimal quantum query algorithm may or may not also have a time-efficient implementation.…”
Section: Extensions and Open Problemsmentioning
confidence: 99%
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