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; et al. (SoftwareX, 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 (2019)

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 001; Giuseppe Carleo (CoRR, 2021)

mpi4jax: Zero-copy MPI communication of JAX arrays. - Dion Häfner; Filippo Vicentini (J. Open Source Softw., 2021)

An efficient quantum algorithm for the time evolution of parameterized circuits. - Stefano Barison; Filippo Vicentini; Giuseppe Carleo (Quantum, 2021)

From Tensor Network Quantum States to Tensorial Recurrent Neural Networks. - Dian Wu; Riccardo Rossi; Filippo Vicentini; Giuseppe Carleo (CoRR, 2022)

Positive-definite parametrization of mixed quantum states with deep neural networks. - Filippo Vicentini; Riccardo Rossi; Giuseppe Carleo (CoRR, 2022)

Learning ground states of gapped quantum Hamiltonians with Kernel Methods. - Clemens Giuliani; Filippo Vicentini; Riccardo Rossi; Giuseppe Carleo (Quantum, 2023)

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. - Alessandro Sinibaldi; Clemens Giuliani; Giuseppe Carleo; Filippo Vicentini (Quantum, 2023)

Empirical Sample Complexity of Neural Network Mixed State Reconstruction. - Haimeng Zhao; Giuseppe Carleo; Filippo Vicentini (Quantum, 2024)

Neural Projected Quantum Dynamics: a systematic study. - Luca Gravina; Vincenzo Savona; Filippo Vicentini (Quantum, 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; et al. (CoRR, 2025)