Quantum Learning Machine

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dc.creatorBang, Jeongho
dc.creatorLim, James
dc.creatorKim, M. S.
dc.creatorLee, Jinhyoung
dc.date2008-03-20
dc.date2008-03-31
dc.date.accessioned2026-07-07T09:29:05Z
dc.date.available2026-07-07T09:29:05Z
dc.descriptionWe propose a novel notion of a quantum learning machine for automatically controlling quantum coherence and for developing quantum algorithms. A quantum learning machine can be trained to learn a certain task with no a priori knowledge on its algorithm. As an example, it is demonstrated that the quantum learning machine learns Deutsch's task and finds itself a quantum algorithm, that is different from but equivalent to the original one.
dc.description4 pages, 8 figures; Revisions made to improve the introduction and motivation
dc.identifierhttps://arxiv.org/abs/0803.2976
dc.identifierhttp://arxiv.org/abs/0803.2976
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/157660
dc.subjectQuantum Physics
dc.titleQuantum Learning Machine
dc.typetext

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