Quantum machine learning interatomic potential: Application of variational quantum algorithm
This study applied quantum circuit learning to a machine learning interatomic potential (MLIP) for predicting the energies of molecules in molecular datasets and confirmed that inserting a quantum circuit into the classical neural network of the MLIP yielded slightly higher accuracy than the fully classical neural netw...