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Elies Gil-Fuster
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2020 – today
- 2024
- [j3]Elies Gil-Fuster, Jens Eisert, Vedran Dunjko:
On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. 5(2): 25003 (2024) - [i8]Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko:
On the relation between trainability and dequantization of variational quantum learning models. CoRR abs/2406.07072 (2024) - [i7]Beng Yee Gan, Po-Wei Huang, Elies Gil-Fuster, Patrick Rebentrost:
Concept learning of parameterized quantum models from limited measurements. CoRR abs/2408.05116 (2024) - 2023
- [i6]Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto:
Understanding quantum machine learning also requires rethinking generalization. CoRR abs/2306.13461 (2023) - [i5]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 abs/2309.11647 (2023) - [i4]Elies Gil-Fuster, Jens Eisert, Vedran Dunjko:
On the expressivity of embedding quantum kernels. CoRR abs/2309.14419 (2023) - 2022
- [i3]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 abs/2205.06217 (2022) - 2021
- [j2]Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke:
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5: 582 (2021) - [i2]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 abs/2105.02276 (2021) - [i1]Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke:
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR abs/2106.03880 (2021) - 2020
- [j1]Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, José I. Latorre:
Data re-uploading for a universal quantum classifier. Quantum 4: 226 (2020)
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