18,087 research outputs found
Certainty and Uncertainty in Quantum Information Processing
This survey, aimed at information processing researchers, highlights
intriguing but lesser known results, corrects misconceptions, and suggests
research areas. Themes include: certainty in quantum algorithms; the "fewer
worlds" theory of quantum mechanics; quantum learning; probability theory
versus quantum mechanics.Comment: Invited paper accompanying invited talk to AAAI Spring Symposium
2007. Comments, corrections, and suggestions would be most welcom
Superpositional Quantum Network Topologies
We introduce superposition-based quantum networks composed of (i) the
classical perceptron model of multilayered, feedforward neural networks and
(ii) the algebraic model of evolving reticular quantum structures as described
in quantum gravity. The main feature of this model is moving from particular
neural topologies to a quantum metastructure which embodies many differing
topological patterns. Using quantum parallelism, training is possible on
superpositions of different network topologies. As a result, not only classical
transition functions, but also topology becomes a subject of training. The main
feature of our model is that particular neural networks, with different
topologies, are quantum states. We consider high-dimensional dissipative
quantum structures as candidates for implementation of the model.Comment: 10 pages, LaTeX2
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