Rapid sampling through quantum computing

dc.creatorGrover, Lov K.
dc.date1999-12-01
dc.date2000-02-18
dc.date.accessioned2026-07-07T06:17:16Z
dc.date.available2026-07-07T06:17:16Z
dc.descriptionThis paper extends the quantum search class of algorithms to the multiple solution case. It is shown that, like the basic search algorithm, these too can be represented as a rotation in an appropriately defined two dimensional vector space. This yields new applications - an algorithm is presented that can create an arbitrarily specified quantum superposition on a space of size N in O(sqrt(N)) steps. By making a measurement on this superposition, it is possible to obtain a sample according to an arbitrarily specified classical probability distribution in O(sqrt(N)) steps. A classical algorithm would need O(N) steps.
dc.descriptionThe paper has been rewritten. It is to be presented at STOC '00 in May '00
dc.identifierhttps://arxiv.org/abs/quant-ph/9912001
dc.identifierhttp://arxiv.org/abs/quant-ph/9912001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/94338
dc.subjectQuantum Physics
dc.titleRapid sampling through quantum computing
dc.typetext

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