Hybrid quantum-classical machine learning for generative chemistry and drug design, the researchers developed a hybrid model that combines a compact discrete variational autoencoder (DVAE ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...