HYBRID QUANTUM-CLASSICAL GENERATIVE MODELS FOR LEARNING DATA DISTRIBUTIONS

摘要

Hybrid quantum-classical generative models for learning data distributions are provided. In various embodiments, methods of and computer program products for operating a Helmholtz machine are provided. In various embodiments, methods of and computer program products for operating a generative adversarial network are provided. In various embodiments, methods of and computer program products for variational autoencoding are provided.