Research is being conducted on the application of hybrid quantum-classical machine learning to generative chemistry and drug design. This approach appears to be showing promise, with some studies demonstrating its potential to generate drug-like molecules and design peptides. The use of quantum machine learning in drug discovery is emerging as a potentially practical tool, with various organizations and startups exploring its capabilities.