Maximum Likelihood Based Quantum Set Separation

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dc.creatorImre, Sándor
dc.creatorBalázs, Ferenc
dc.date2004-02-12
dc.date.accessioned2026-07-07T06:08:58Z
dc.date.available2026-07-07T06:08:58Z
dc.descriptionIn this paper we introduce a method, which is used for set separation based on quantum computation. In case of no a-priori knowledge about the source signal distribution, it is a challenging task to find an optimal decision rule which could be implemented in the separating algorithm. We lean on the Maximum Likelihood approach and build a bridge between this method and quantum counting. The proposed method is also able to distinguish between disjunct sets and intersection sets.
dc.description9 pages, Latex, 5 figures, will be presented at ICCS 04
dc.identifierhttps://arxiv.org/abs/quant-ph/0402081
dc.identifierhttp://arxiv.org/abs/quant-ph/0402081
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/91819
dc.subjectQuantum Physics
dc.titleMaximum Likelihood Based Quantum Set Separation
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