Mutual Entropy in Quantum Information and Information Genetics

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dc.creatorOhya, Masanori
dc.date2004-06-30
dc.date.accessioned2026-07-07T06:10:06Z
dc.date.available2026-07-07T06:10:06Z
dc.descriptionAfter Shannon, entropy becomes a fundamental quantity to describe not only uncertainity or chaos of a system but also information carried by the system. Shannon's important discovery is to give a mathematical expression of the mutual entropy (information), information transmitted from an input system to an output system, by which communication processes could be analyzed on the stage of mathematical science. In this paper, first we review the quantum mutual entropy and discuss its uses in quantum information theory, and secondly we show how the classical mutual entropy can be used to analyze genomes, in particular, those of HIV.
dc.description26 pages
dc.identifierhttps://arxiv.org/abs/quant-ph/0406228
dc.identifierhttp://arxiv.org/abs/quant-ph/0406228
dc.identifierQUANTUM INFORMATION, edited by T Hida & K Saito, 133-158, 1997
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/92176
dc.subjectQuantum Physics
dc.titleMutual Entropy in Quantum Information and Information Genetics
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