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Proceedings Paper

A theoretical model of multi-agent quantum computing
Author(s): F. Matthew Mihelic M.D.
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Paper Abstract

The best design for practical quantum computing is one that emulates the multi-agent quantum logic function of natural biological systems. Such systems are theorized to be based upon a quantum gate formed by a nucleic acid Szilard engine (NASE) that converts Shannon entropy of encountered molecules into useful work of nucleic acid geometric reconfiguration. This theoretical mechanism is logically and thermodynamically reversible in this special case because it is literally constructed out of the (nucleic acid) information necessary for its function, thereby allowing the nucleic acid Szilard engine to function reversibly because, since the information by which it functions exists on both sides of the theoretical mechanism simultaneously, there would be no build-up of information within the theoretical mechanism, and therefore no irreversible thermodynamic energy cost would be necessary to erase information inside the mechanism. This symmetry breaking Szilard engine function is associated with emission and/or absorption of entangled photons that can provide quantum synchronization of other nucleic acid segments within and between cells. In this manner nucleic acids can be considered as a natural model of topological quantum computing in which the nonabelian interaction of genes can be represented within quantum knot/braid theory as anyon crosses determined by entropic loss or gain that leads to changes in nucleic acid covalent bond angles. This naturally occurring biological form of topological quantum computing can serve as a model for workable man-made multi-agent quantum computing systems.

Paper Details

Date Published: 3 June 2011
PDF: 5 pages
Proc. SPIE 8057, Quantum Information and Computation IX, 80570P (3 June 2011); doi: 10.1117/12.883894
Show Author Affiliations
F. Matthew Mihelic M.D., Light Consulting (United States)

Published in SPIE Proceedings Vol. 8057:
Quantum Information and Computation IX
Eric Donkor; Andrew R. Pirich; Howard E. Brandt, Editor(s)

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