Articles Citing

Universal approximation of continuous functions with minimal quantum circuits

Adrián Pérez-Salinas ^1,2,*, Mahtab Yaghubi Rad^1,3, Alice Barthe ^1,4, and Vedran Dunjko ^1,3

¹⟨aQa⟩^L Applied Quantum Algorithms, Universiteit Leiden, Leiden, Netherlands
²Instituut-Lorentz, Universiteit Leiden, Niels Bohrweg 2, 2333 CA Leiden, Netherlands
³LIACS, Universiteit Leiden, Niels Bohrweg 1, 2333 CA Leiden, Netherlands
⁴CERN, Espl. des Particules 1, 1211 Geneva, Switzerland

^*Contact author: adperez@phys.ethz.ch

Experimental data reuploading with provable enhanced learning capabilities

Martin F. X. Mauser, Solène Four, Lena Marie Predl, Riccardo Albiero, Francesco Ceccarelli, Roberto Osellame, Philipp Petersen, Borivoje Dakić, Iris Agresti, and Philip Walther

Sci. Adv. 12 eaeb1397 (2026)

Re-uploading quantum data: a universal function approximator for quantum inputs

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Classical-quantum hybrid architecture for physics-informed neural networks

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Phys. Rev. A 113 042446 (2026)

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Universal approximation of continuous functions with minimal quantum circuits

Experimental data reuploading with provable enhanced learning capabilities

Re-uploading quantum data: a universal function approximator for quantum inputs

Classical-quantum hybrid architecture for physics-informed neural networks

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