Filippo Vicentini

According to our database, Filippo Vicentini authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Variational subspace methods and application to improving variational Monte Carlo dynamics.

Adrien Kahn, Luca Gravina, Filippo Vicentini

Quantum, 2026

2025

Quantum computing and artificial intelligence: status and perspectives.

Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm

CoRR, May, 2025

Neural Projected Quantum Dynamics: a systematic study.

Luca Gravina, Vincenzo Savona, Filippo Vicentini

Quantum, 2025

2024

Empirical Sample Complexity of Neural Network Mixed State Reconstruction.

Haimeng Zhao, Giuseppe Carleo, Filippo Vicentini

Quantum, 2024

2023

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution.

Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, Filippo Vicentini

Quantum, October, 2023

Learning ground states of gapped quantum Hamiltonians with Kernel Methods.

Clemens Giuliani, Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo

Quantum, August, 2023

2022

Positive-definite parametrization of mixed quantum states with deep neural networks.

Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo

CoRR, 2022

From Tensor Network Quantum States to Tensorial Recurrent Neural Networks.

Dian Wu, Riccardo Rossi, Filippo Vicentini, Giuseppe Carleo

CoRR, 2022

2021

An efficient quantum algorithm for the time evolution of parameterized circuits.

Stefano Barison, Filippo Vicentini, Giuseppe Carleo

Quantum, 2021

mpi4jax: Zero-copy MPI communication of JAX arrays.

Dion Häfner, Filippo Vicentini

J. Open Source Softw., 2021

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems.

Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo

CoRR, 2021

2019

Stochastic and Neural Network methods for many-body open quantum systems. (Méthodes stochastiques et Neural Networks pour les systèmes quantiques ouverts à plusieurs corps).

Filippo Vicentini

PhD thesis, 2019

NetKet: A machine learning toolkit for many-body quantum systems.

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

SoftwareX, 2019