Quantum Machine Learning

MolPaQ: Modular Quantum-Classical Patch Learning for Interpretable Molecular Generation

MOLPAQ is a novel modular quantum-classical generator that creates interpretable molecules from quantum-generated latent patches, achieving 100% RDKit validity and high novelty and diversity. This approach significantly improves property control, such as QED and aromatic motif incidence, over classical generators.