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arxiv: 1701.06942 · v1 · pith:WRLQAFKAnew · submitted 2017-01-24 · 🪐 quant-ph · cs.CC

Optimal one-shot quantum algorithm for EQUALITY and AND

classification 🪐 quant-ph cs.CC
keywords probabilityquantumalgorithmblackequalityerrorlowestmodel
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We study the computation complexity of Boolean functions in the quantum black box model. In this model our task is to compute a function $f:\{0,1\}\to\{0,1\}$ on an input $x\in\{0,1\}^n$ that can be accessed by querying the black box. Quantum algorithms are inherently probabilistic; we are interested in the lowest possible probability that the algorithm outputs incorrect answer (the error probability) for a fixed number of queries. We show that the lowest possible error probability for $AND_n$ and $EQUALITY_{n+1}$ is $1/2-n/(n^2+1)$.

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