Elies Gil-Fuster 个人学术档案

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Jens EisertProfessor of Quantum Physics at Freie Universität Berlin, Fraunhofer HHI and Helmholtz Center Berlin在 physik.fu-berlin.de 的电子邮件经过验证
Johannes Jakob MeyerGraduate Student, Dahlem Center for Complex Quantum Systems, FU Berlin在 fu-berlin.de 的电子邮件经过验证
Adrián Pérez-SalinasLorentz Instituut, Leiden University在 lorentz.leidenuniv.nl 的电子邮件经过验证
Alba Cervera-LiertaSenior Researcher, Barcelona Supercomputing Center在 bsc.es 的电子邮件经过验证
José Ignacio LatorreCentre for Quantum Technologies, Singapore; Technology Innovation Institute, Abu dhabi.在 nus.edu.sg 的电子邮件经过验证
Ryan SwekeResearch Scientist at IBM在 ibm.com 的电子邮件经过验证
Matthias C. CaroPostdoctoral researcher, Freie Universität Berlin在 fu-berlin.de 的电子邮件经过验证
Carlos Bravo-PrietoPostdoctoral researcher, Freie Universität Berlin在 fu-berlin.de 的电子邮件经过验证
Sofiene JerbiFreie Universität Berlin在 fu-berlin.de 的电子邮件经过验证
Vedran DunjkoLeiden University在 liacs.leidenuniv.nl 的电子邮件经过验证

Elies Gil-Fuster

在 zedat.fu-berlin.de 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Data re-uploading for a universal quantum classifier A Pérez-Salinas, A Cervera-Lierta, E Gil-Fuster, JI Latorre Quantum 4, 226, 2020	498	2020
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	124	2023
Encoding-dependent generalization bounds for parametrized quantum circuits MC Caro, E Gil-Fuster, JJ Meyer, J Eisert, R Sweke Quantum 5, 582, 2021	98	2021
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	83	2022
Understanding quantum machine learning also requires rethinking generalization E Gil-Fuster, J Eisert, C Bravo-Prieto Nature Communications 15 (1), 2277, 2024	14	2024
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	8	2023
On the expressivity of embedding quantum kernels E Gil-Fuster, J Eisert, V Dunjko Machine Learning: Science and Technology 5 (2), 025003, 2024	3	2024
On the relation between trainability and dequantization of variational quantum learning models E Gil-Fuster, C Gyurik, A Pérez-Salinas, V Dunjko arXiv preprint arXiv:2406.07072, 2024		2024

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