Publication | Open Access
Any AND-OR Formula of Size N can be Evaluated in time N^{1/2 + o(1)} on a Quantum Computer
131
Citations
23
References
2007
Year
Unknown Venue
Computational Complexity TheoryEngineeringComputational ComplexityTime N^Size NQuantum ComputingQuantum Optimization AlgorithmAlgebraic ComplexityQuantum ComputerQuantum Query ComplexityQuantum SciencePhysicsLower BoundQuantum AlgorithmQuantum VolumeComputer ScienceTheory Of ComputingFormula SizeTime ComplexityQuantum DevicesQuantum Error CorrectionQuantum Algorithms
For any AND-OR formula of size N, there exists a bounded-error N <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2+o(1)</sup> -time quantum algorithm, based on a discrete-time quantum walk, that evaluates this formula on a black-box input. Balanced, or "approximately balanced," formulas can be evaluated in O(radicN) queries, which is optimal. It follows that the (2-o(1))th power of the quantum query complexity is a lower bound on the formula size, almost solving in the positive an open problem posed by Laplante, Lee and Szegedy.
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