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dc.contributor.authorBehrman, Elizabeth C.
dc.contributor.authorSteck, James E.
dc.date.accessioned2013-03-27T14:58:25Z
dc.date.available2013-03-27T14:58:25Z
dc.date.issued2013-01
dc.identifier.citationBehrman, Elizabeth C.; Steck, James E. 2013. Multiqubit entanglement of a general input state. Quantum Information & Computation, v.13 no.1-2 pp.36-53en_US
dc.identifier.issn1533-7146
dc.identifier.otherWOS:000315304700004
dc.identifier.urihttp://hdl.handle.net/10057/5569
dc.descriptionThe article is available for purchase at the publisher's website: http://www.rintonpress.com/journals/qiconline.html#v13n12en_US
dc.description.abstractMeasurement of entanglement remains an important problem for quantum information. We present the design and simulation of an experimental method for an entanglement indicator for a general multiqubit state. The system can be in a pure or a mixed state, and it need not be "close" to any particular state. The system contains information about its own entanglement; we use dynamic learning methods to map this information onto a single experimental measurement which is our entanglement indicator. Our method does not require prior state reconstruction or lengthy optimization. An entanglement witness emerges from the learning process, beginning with two-qubit systems, and extrapolating this to three, four, and five qubit systems where the entanglement is not well understood. Our independently learned measures for three-qubit systems compare favorably with known entanglement measures. As the size of the system grows the amount of additional training necessary diminishes, raising hopes for applicability to large computational systems.en_US
dc.language.isoen_USen_US
dc.publisherRinton Press, Inc.en_US
dc.relation.ispartofseriesQuantum Information & Computation;v.13 no.1-2
dc.subjectquantum algorithmen_US
dc.subjectentanglementen_US
dc.subjectdynamic learningen_US
dc.titleMultiqubit entanglement of a general input stateen_US
dc.typeArticleen_US


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