RBM Image Generation Using the D-Wave 2000Q

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dc.contributor.authorSleeman, Jennifer
dc.contributor.authorHalem, Milton
dc.contributor.authorDorband, John
dc.date.accessioned2020-07-22T17:09:38Z
dc.date.available2020-07-22T17:09:38Z
dc.date.issued2019-10-30
dc.descriptionPresented at the EECS Rising Star Workshop October 30, 2019en_US
dc.description.abstractWe describe a hybrid approach that combines a deep convolutional neural network autoencoder and a quantum Restricted Boltzmann Machine (RBM) for image generation using the D-Wave 2000Q. We compare the quantum learned distribution with the classical learned distribution, and quantify the quantum effects on latent representations.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/882/RBM-Image-Generation-Using-the-D-Wave-2000Qen_US
dc.format.extent1 pageen_US
dc.genrepresentations(communicative events)en_US
dc.identifierdoi:10.13016/m2zspl-zhvf
dc.identifier.citationJennifer Sleeman, Milton Halem and John Dorband, RBM Image Generation Using the D-Wave 2000Q, Presented at the EECS Rising Star Workshop, https://ebiquity.umbc.edu/paper/html/id/882/RBM-Image-Generation-Using-the-D-Wave-2000Qen_US
dc.identifier.urihttp://hdl.handle.net/11603/19219
dc.language.isoen_USen_US
dc.publisherUMBCen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectUMBC Ebiquity Research Group
dc.titleRBM Image Generation Using the D-Wave 2000Qen_US
dc.typeTexten_US

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