Hybrid quantum-classical circuit learning for spectral property prediction

A novel hybrid quantum-classical machine learning approach using parameterized quantum circuits (PQCs) to improve prediction accuracy for spectral properties. This method leverages quantum-chemical descriptors and patch-...