Filippo Vicentini
Filippo Vicentini
Assistant Professor in Quantum Physics and AI, Ecole Polytechnique, Paris
Verified email at - Homepage
Cited by
Cited by
Variational Neural-Network Ansatz for Steady States in Open Quantum Systems
F Vicentini, A Biella, N Regnault, C Ciuti
Phys. Rev. Lett 122 (25), 250503, 2019
Critical slowing down in driven-dissipative Bose-Hubbard lattices
F Vicentini, F Minganti, R Rota, G Orso, C Ciuti
Physical Review A 97 (1), 013853, 2018
NetKet: A machine learning toolkit for many-body quantum systems
D Hofmann, JET Smith, T Westerhout, F Alet, E Davis, S Efthymiou, ...
SoftwareX 10, 100311, 2019
An efficient quantum algorithm for the time evolution of parameterized circuits
S Barison, F Vicentini, G Carleo
Quantum 5, 512, 2021
Nonlinear Polariton Fluids in a Flatband Reveal Discrete Gap Solitons
V Goblot, B Rauer, F Vicentini, A Le Boité, E Galopin, A Lemaître, ...
Physical Review Letters 123 (11), 113901, 2019
Netket 3: Machine learning toolbox for many-body quantum systems
F Vicentini, D Hofmann, A Szabó, D Wu, C Roth, C Giuliani, G Pescia, ...
SciPost Physics Codebases, 007, 2022
Optimal stochastic unraveling of disordered open quantum systems: Application to driven-dissipative photonics lattices
F Vicentini, F Minganti, A Biella, G Orso, C Ciuti
Physical Review A 99 (1), 032115, 2019
Modern applications of machine learning in quantum sciences
A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ...
arXiv preprint arXiv:2204.04198, 2022
mpi4jax: Zero-copy MPI communication of JAX arrays
D Häfner, F Vicentini
Journal of Open Source Software 6 (65), 3419, 2021
Positive-definite parametrization of mixed quantum states with deep neural networks
F Vicentini, R Rossi, G Carleo
arXiv preprint arXiv:2206.13488, 2022
Machine learning toolbox for quantum many body physics
F Vicentini
Nature Reviews Physics 3 (3), 156-156, 2021
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks
D Wu, R Rossi, F Vicentini, G Carleo
arXiv preprint arXiv:2206.12363, 2022
Variational Benchmarks for Quantum Many-Body Problems
D Wu, R Rossi, F Vicentini, N Astrakhantsev, F Becca, X Cao, ...
arXiv preprint arXiv:2302.04919, 2023
Variational dynamics as a ground-state problem on a quantum computer
S Barison, F Vicentini, I Cirac, G Carleo
Physical Review Research 4 (4), 043161, 2022
Learning ground states of gapped quantum Hamiltonians with Kernel Methods
C Giuliani, F Vicentini, R Rossi, G Carleo
arXiv preprint arXiv:2303.08902, 2023
Neural Network Ansatz for Finite Temperature
F Vicentini, R Rossi, G Carleo
APS March Meeting Abstracts 2022, S47. 003, 2022
Quantum Chemistry with Quantum Computers and Neural Networks
A Mezzacapo, B Fuller, G Carleo, G Torlai, F Vicentini, KJ Choo, ...
American Chemical Society (ACS) Spring Meeting, 2021
Stochastic and Neural Network methods for many-body open quantum systems
F Vicentini
Université Paris Diderot-Paris 7, 2019
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