Data re-uploading for a universal quantum classifier. - Adrián Pérez-Salinas; Alba Cervera-Lierta; Elies Gil-Fuster; José I. Latorre (Quantum, 2020)

Training Quantum Embedding Kernels on Near-Term Quantum Computers. - Thomas Hubregtsen; David Wierichs; Elies Gil-Fuster; Peter-Jan H. S. Derks; Paul K. Fährmann; Johannes Jakob Meyer (CoRR, 2021)

Encoding-dependent generalization bounds for parametrized quantum circuits. - Matthias C. Caro; Elies Gil-Fuster; Johannes Jakob Meyer; Jens Eisert; Ryan Sweke (Quantum, 2021)

Exploiting symmetry in variational quantum machine learning. - Johannes Jakob Meyer; Marian Mularski; Elies Gil-Fuster; Antonio Anna Mele; Francesco Arzani; Alissa Wilms; Jens Eisert (CoRR, 2022)

Understanding quantum machine learning also requires rethinking generalization. - Elies Gil-Fuster; Jens Eisert; Carlos Bravo-Prieto (CoRR, 2023)

Potential and limitations of random Fourier features for dequantizing quantum machine learning. - Ryan Sweke; Erik Recio; Sofiène Jerbi; Elies Gil-Fuster; Bryce Fuller; Jens Eisert; Johannes Jakob Meyer (CoRR, 2023)

Concept learning of parameterized quantum models from limited measurements. - Beng Yee Gan; Po-Wei Huang; Elies Gil-Fuster; Patrick Rebentrost (CoRR, 2024)

Opportunities and limitations of explaining quantum machine learning. - Elies Gil-Fuster; Jonas R. Naujoks; Grégoire Montavon; Thomas Wiegand 001; Wojciech Samek; Jens Eisert (CoRR, 2024)

On the expressivity of embedding quantum kernels. - Elies Gil-Fuster; Jens Eisert; Vedran Dunjko (Mach. Learn. Sci. Technol., 2024)

On the Relation between Trainability and Dequantization of Variational Quantum Learning Models. - Elies Gil-Fuster; Casper Gyurik; Adrián Pérez-Salinas; Vedran Dunjko (ICLR, 2025)

Potential and limitations of random Fourier features for dequantizing quantum machine learning. - Ryan Sweke; Erik Recio-Armengol; Sofiène Jerbi; Elies Gil-Fuster; Bryce Fuller; Jens Eisert; Johannes Jakob Meyer (Quantum, 2025)

Double descent in quantum machine learning. - Marie C. Kempkes; Aroosa Ijaz; Elies Gil-Fuster; Carlos Bravo-Prieto; Jakob Spiegelberg; Evert P. L. van Nieuwenburg; Vedran Dunjko (CoRR, 2025)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)