Quantum Computation Based Probability Density Function Estimation

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dc.creatorBalázs, Ferenc
dc.creatorImre, Sándor
dc.date2004-09-06
dc.date.accessioned2026-07-07T06:10:48Z
dc.date.available2026-07-07T06:10:48Z
dc.descriptionSignal processing techniques will lean on blind methods in the near future, where no redundant, resource allocating information will be transmitted through the channel. To achieve a proper decision, however, it is essential to know at least the probability density function (pdf), which to estimate is classically a time consumption and/or less accurate hard task, that may make decisions to fail. This paper describes the design of a quantum assisted pdf estimation method also by an example, which promises to achieve the exact pdf by proper setting of parameters in a very fast way.
dc.description5 pages, 3 figures, will be published by International Journal of Quantum Information
dc.identifierhttps://arxiv.org/abs/quant-ph/0409033
dc.identifierhttp://arxiv.org/abs/quant-ph/0409033
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/92353
dc.subjectQuantum Physics
dc.titleQuantum Computation Based Probability Density Function Estimation
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