Revolutionary Hybrid Quantum Model Transforms Molecule Prediction Game
The Cleveland Clinic has developed a hybrid quantum-classical machine learning model to predict proton affinities in molecules, advancing computational chemistry. This innovative approach integrates classical molecular descriptors with quantum circuits, achieving high precision with a mean absolute error (MAE) of 2.47 kcal/mol.
