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C. Chowdhury

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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 · 1 citation

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