Data re-uploading for a universal quantum classifier A Pérez-Salinas, A Cervera-Lierta, E Gil-Fuster, JI Latorre Quantum 4, 226, 2020 | 373 | 2020 |
Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021 | 77 | 2021 |
Exploiting symmetry in variational quantum machine learning JJ Meyer, M Mularski, E Gil-Fuster, AA Mele, F Arzani, A Wilms, J Eisert PRX Quantum 4 (1), 010328, 2023 | 68 | 2023 |
Training quantum embedding kernels on near-term quantum computers T Hubregtsen, D Wierichs, E Gil-Fuster, PJHS Derks, PK Faehrmann, ... Physical Review A 106 (4), 042431, 2022 | 57 | 2022 |
Understanding quantum machine learning also requires rethinking generalization E Gil-Fuster, J Eisert, C Bravo-Prieto arXiv preprint arXiv:2306.13461, 2023 | 2 | 2023 |
On the expressivity of embedding quantum kernels E Gil-Fuster, J Eisert, V Dunjko arXiv preprint arXiv:2309.14419, 2023 | 1 | 2023 |
Potential and limitations of random Fourier features for dequantizing quantum machine learning R Sweke, E Recio, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, JJ Meyer arXiv preprint arXiv:2309.11647, 2023 | 1 | 2023 |