Kantipudi Charan Sai Sree

Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States

It is suggested that the VQE–HF energy gap encodes physically transferable information about correlation-energy saturation, and that even the smallest training set can produce practically useful corrections for near-term quantum chemistry.