On the Quantum Black-Box Complexity of Majority

dc.creatorHayes, Thomas
dc.creatorKutin, Samuel
dc.creatorvan Melkebeek, Dieter
dc.date2001-09-20
dc.date2002-10-30
dc.date.accessioned2026-07-07T06:02:43Z
dc.date.available2026-07-07T06:02:43Z
dc.descriptionWe describe a quantum black-box network computing the majority of N bits with zero-sided error eps using only 2N/3 + O(sqrt{N (log log N + log 1/eps)}) queries: the algorithm returns the correct answer with probability at least 1 - eps, and "I don't know" otherwise. Our algorithm is given as a randomized "XOR decision tree" for which the number of queries on any input is strongly concentrated around a value of at most 2N/3. We provide a nearly matching lower bound of 2N/3 - O(sqrt(N)) on the expected number of queries on a worst-case input in the randomized XOR decision tree model with zero-sided error o(1). Any classical randomized decision tree computing the majority on N bits with zero-sided error 1/2 has cost N.
dc.description22 pages, to appear in Algorithmica, v3: tail laws in appendix proved in a more elegant way than in the journal version
dc.identifierhttps://arxiv.org/abs/quant-ph/0109101
dc.identifierhttp://arxiv.org/abs/quant-ph/0109101
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/89712
dc.subjectQuantum Physics
dc.titleOn the Quantum Black-Box Complexity of Majority
dc.typetext

Files

Collections