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Vijayalakshmi Shankar

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Open access Sep 2026

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.

Kantipudi Charan Sai Sree, Vijayalakshmi Shankar · 0 citations

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