From sparse quantum-computing data to atomistic simulation with universal machine-learning interatomic potentials

Tuan Minh Do, Yuichiro Yoshida, Kenji Ishihara +1

We propose a framework for incorporating quantum-computing-based electronic-structure calculations into universal machine-learning interatomic potentials (uMLIPs). Rather than cons…