Papers
A non-comprehensive list of some papers that used NetKet.
If your paper or preprint uses NetKet, feel free to open a PR at the netket/netket.org repository adding it. You just need to create a file that looks like this example.
High-accuracy variational Monte Carlo for frustrated magnets with deep neural networks
Authors: Christopher Roth, Attila Szabó, Allan H. MacDonald
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Authors: Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderón, Nikita Astrakhantsev, Giuseppe Carleo
Journal: SciPost Physics Codebases
Year: 2022
Cite: BibTex
ArXiV: 2112.10526
Code: Link to Repository
Positive-definite parametrization of mixed quantum states with deep neural networks
Authors: Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo