Open access
Jul 2026
Quantum machine learning for predicting properties of van der Waals bilayers.
This study presents a quantum-enhanced machine learning framework for predicting the bandgaps of van der Waals bilayers utilizing quantum simulators, and demonstrates the feasibility of a simulator-based QML workflow for materials-property prediction.
C. Chowdhury, L. Giordano
· Journal of Chemical Physics · 1 citation