Sleeman, JenniferHalem, MiltonDorband, John2020-07-222020-07-222019-10-30Jennifer 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-2000Qhttp://hdl.handle.net/11603/19219Presented at the EECS Rising Star Workshop October 30, 2019We 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.1 pageen-USThis 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.Public Domain Mark 1.0This 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.UMBC Ebiquity Research GroupRBM Image Generation Using the D-Wave 2000QText