A descriptor-based machine-learning ensemble predicts proton affinities to near-experimental accuracy, while a hybrid quantum-classical model performs comparably to classical baselines without demonstrating an advantage.
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Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions
A descriptor-based machine-learning ensemble predicts proton affinities to near-experimental accuracy, while a hybrid quantum-classical model performs comparably to classical baselines without demonstrating an advantage.