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dc.contributor.authorBehrman, Elizabeth C.
dc.contributor.authorBonde, Richard E. F.
dc.contributor.authorSteck, James E.
dc.contributor.authorBehrman, Joanna F.
dc.identifier.citationBehrman, E.C.; Bonde, R.E.F.; Steck, J.E.; Behrman, J.F., "On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks," Neural Networks and Learning Systems, IEEE Transactions on , vol.PP, no.99, pp.1,1, 0 doi: 10.1109/TNNLS.2013.2281938en_US
dc.descriptionClick on the DOI link to access the article (may not be free)en_US
dc.description.abstractEntanglement of a quantum system depends upon the relative phase in complicated ways, which no single measurement can reflect. Because of this, "entanglement witnesses'' (measures that estimate entanglement) are necessarily limited in applicability and/or utility. We propose here a solution to the problem using quantum neural networks. A quantum system contains the information of its entanglement; thus, if we are clever, we can extract that information efficiently. As proof of concept, we show how this can be done for the case of pure states of a two-qubit system, using an entanglement indicator corrected for the anomalous phase oscillation. Both the entanglement indicator and the phase correction are calculated by the quantum system itself acting as a neural network.en_US
dc.relation.ispartofseriesIEEE Transactions on Neural Networks and Learning Systems;
dc.subjectNeural networksen_US
dc.subjectQuantum computingen_US
dc.subjectQuantum entanglementen_US
dc.subjectTime measurementen_US
dc.subjectEntanglement witnessen_US
dc.subjectQuantum backpropagationen_US
dc.subjectQuantum computingen_US
dc.subjectQuantum neural network (QNN)en_US
dc.subjectSupervised learningen_US
dc.titleOn the correction of anomalous phase oscillation in entanglement witnesses using quantum neural networksen_US
dc.rights.holder© Copyright 2014 IEEE

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