Publication | Closed Access
Any AND-OR Formula of Size <i>N</i> Can Be Evaluated in Time $N^{1/2+o(1)}$ on a Quantum Computer
118
Citations
12
References
2010
Year
Quantum ScienceWeighted TreeEngineeringQuantum ComputingPhysicsAnd-or FormulaQuantum Machine LearningLower BoundBounded-error Quantum AlgorithmQuantum InformationQuantum AlgorithmComputational ComplexityTime ComplexityQuantum ComputerComputer ScienceQuantum Error CorrectionQuantum AlgorithmsBalanced Formulas
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 $O(\sqrt{N})$ 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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