Quantum Mechanics as Information Fusion

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dc.creatorChapline, George
dc.date1999-12-04
dc.date.accessioned2026-07-07T06:17:18Z
dc.date.available2026-07-07T06:17:18Z
dc.descriptionWe provide evidence that quantum mechanics can be interpreted as a rational algorithm for finding the least complex description for the correlations in the outputs of sensors in a large array. In particular, by comparing the self-organization approach to solving the Traveling Salesman Problem with a solution based on taking the classical limit of a Feynman path integral, we are led to a connection between the quantum mechanics of motion in a magnetic field and self-organized information fusion.
dc.descriptionpostscript, 9 pages
dc.identifierhttps://arxiv.org/abs/quant-ph/9912019
dc.identifierhttp://arxiv.org/abs/quant-ph/9912019
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/94347
dc.subjectQuantum Physics
dc.titleQuantum Mechanics as Information Fusion
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