Elies Gil-Fuster

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Robust Image Watermarking

Quantum Computing

Gaussian Kernels

Machine Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
On the relation between trainability and dequantization of variational quantum learning models. CoRR (2024)
Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. 5 (2) (2024)
Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR (2023)
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Understanding quantum machine learning also requires rethinking generalization. CoRR (2023)
Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
On the expressivity of embedding quantum kernels. CoRR (2023)
Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
Exploiting symmetry in variational quantum machine learning. CoRR (2022)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR (2021)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5 (2021)
Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster, Peter-Jan H. S. Derks, Paul K. Fährmann, Johannes Jakob Meyer
Training Quantum Embedding Kernels on Near-Term Quantum Computers. CoRR (2021)
Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, José I. Latorre
Data re-uploading for a universal quantum classifier. Quantum 4 (2020)