RBM Image Generation Using the D-Wave 2000Q
Jennifer Sleeman, Milton Halem, John E. Dorband · Maryland Shared Open Access Repository (USMAI Consortium) · 2019
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.