Author

Jorgen Wu

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Preprint Sep 2026

Operator Learning with Variational Quantum Circuits

A new methodology is developed for quantum machine learning which enables variational quantum circuits to learn linear and non-linear solution operators to differential equations, leveraging the quantum universal approximation theorem.

Jorgen Wu, Masoud Barati, P. Givi · 0 citations