Analogue Quantum Computers for Data Analysis

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dc.creatorVlasov, Alexander Yu.
dc.date1998-02-11
dc.date.accessioned2026-07-07T06:14:46Z
dc.date.available2026-07-07T06:14:46Z
dc.descriptionAnalogue computers use continuous properties of physical system for modeling. In the paper is described possibility of modeling by analogue quantum computers for some model of data analysis. It is analogue associative memory and a formal neural network. A particularity of the models is combination of continuous internal processes with discrete set of output states. The modeling of the system by classical analogue computers was offered long times ago, but now it is not very effectively in comparison with modern digital computers. The application of quantum analogue modelling looks quite possible for modern level of technology and it may be more effective than digital one, because number of element may be about Avogadro number (N=6.0E23).
dc.description7 pages, standard article LaTeX2e document class
dc.identifierhttps://arxiv.org/abs/quant-ph/9802028
dc.identifierhttp://arxiv.org/abs/quant-ph/9802028
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/93591
dc.subjectQuantum Physics
dc.subjectComputer Vision and Pattern Recognition
dc.titleAnalogue Quantum Computers for Data Analysis
dc.typetext

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