RBM Image Generation Using the D-Wave 2000Q
| dc.contributor.author | Sleeman, Jennifer | |
| dc.contributor.author | Halem, Milton | |
| dc.contributor.author | Dorband, John | |
| dc.date.accessioned | 2020-07-22T17:09:38Z | |
| dc.date.available | 2020-07-22T17:09:38Z | |
| dc.date.issued | 2019-10-30 | |
| dc.description | Presented at the EECS Rising Star Workshop October 30, 2019 | en |
| dc.description.abstract | We 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 |
| dc.description.uri | https://ebiquity.umbc.edu/paper/html/id/882/RBM-Image-Generation-Using-the-D-Wave-2000Q | en |
| dc.format.extent | 1 page | en |
| dc.genre | presentations(communicative events) | en |
| dc.identifier | doi:10.13016/m2zspl-zhvf | |
| dc.identifier.citation | Jennifer 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-2000Q | en |
| dc.identifier.uri | http://hdl.handle.net/11603/19219 | |
| dc.language.iso | en | en |
| dc.publisher | UMBC | en |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights | This 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.rights | This 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.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.subject | UMBC Ebiquity Research Group | |
| dc.title | RBM Image Generation Using the D-Wave 2000Q | en |
| dc.type | Text | en |