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Author

Masoud Barati

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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
Jul 2026

A qubit-efficient quantum algorithm for convolutional feature extraction

This work provides a pragmatic, resource-efficient blueprint for implementing core machine learning primitives on near-term quantum devices by proposing a qubit-efficient, hybrid quantum-classical algorithm that mitigates limitations of NISQ-era hardware.

Mohammad Rasoul Roshanshah, Payman Kazemikhah, Hossein Aghababa et al. · 0 citations

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