Search Results for author: Damian Hofmann

Found 2 papers, 2 papers with code

Date Published Github Stars

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

1 code implementation • 20 Dec 2021 • Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderon, Nikita Astrakhantsev, Giuseppe Carleo

We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics.

BIG-bench Machine Learning Chunking +2

554
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Code

NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems

1 code implementation • 29 Mar 2019 • 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 van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Alexander Wietek

We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques.

Quantum Physics Disordered Systems and Neural Networks Strongly Correlated Electrons Computational Physics Data Analysis, Statistics and Probability

554
Paper
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