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ORCIDFilippo Vicentini
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2020 – today
- 2023
[j5]Clemens Giuliani, Filippo Vicentini, Riccardo Rossi
, Giuseppe Carleo:
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. Quantum 7: 1096 (2023)- [j4]Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini:
Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. Quantum 7: 1131 (2023) - [i5]Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo:
Learning ground states of gapped quantum Hamiltonians with Kernel Methods. CoRR abs/2303.08902 (2023) - [i4]Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini:
Empirical Sample Complexity of Neural Network Mixed State Reconstruction. CoRR abs/2307.01840 (2023) - 2022
- [i3]Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo:
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. CoRR abs/2206.12363 (2022) - [i2]Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo:
Positive-definite parametrization of mixed quantum states with deep neural networks. CoRR abs/2206.13488 (2022) - 2021
- [j3]Dion Häfner, Filippo Vicentini:
mpi4jax: Zero-copy MPI communication of JAX arrays. J. Open Source Softw. 6(65): 3419 (2021) - [j2]Stefano Barison, Filippo Vicentini, Giuseppe Carleo:
An efficient quantum algorithm for the time evolution of parameterized circuits. Quantum 5: 512 (2021) - [i1]Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo:
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. CoRR abs/2112.10526 (2021)
2010 – 2019
- 2019
- [b1]Filippo Vicentini:
Stochastic and Neural Network methods for many-body open quantum systems. (Méthodes stochastiques et Neural Networks pour les systèmes quantiques ouverts à plusieurs corps). Paris Diderot University, France, 2019 - [j1]Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E. T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng-Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert P. L. van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek:
NetKet: A machine learning toolkit for many-body quantum systems. SoftwareX 10: 100311 (2019)
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