Quantum pattern recognition with liquid-state nuclear magnetic resonance

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dc.creatorNeigovzen, Rodion
dc.creatorNeves, Jorge L.
dc.creatorSollacher, Rudolf
dc.creatorGlaser, Steffen J.
dc.date2008-02-12
dc.date2009-04-20
dc.date.accessioned2026-07-07T13:05:26Z
dc.date.available2026-07-07T13:05:26Z
dc.descriptionA novel quantum pattern recognition scheme is presented, which combines the idea of a classic Hopfield neural network with adiabatic quantum computation. Both the input and the memorized patterns are represented by means of the problem Hamiltonian. In contrast to classic neural networks, the algorithm can return a quantum superposition of multiple recognized patterns. A proof of principle for the algorithm for two qubits is provided using a liquid state NMR quantum computer.
dc.descriptionupdated version, Journal-ref added
dc.identifierhttps://arxiv.org/abs/0802.1592
dc.identifierhttp://arxiv.org/abs/0802.1592
dc.identifierPhys. Rev. A 79, 042321 (2009)
dc.identifierdoi:10.1103/PhysRevA.79.042321
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227485
dc.subjectQuantum Physics
dc.titleQuantum pattern recognition with liquid-state nuclear magnetic resonance
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