Year: 2019
Type: software-paper
Abstract: We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and flexible implementation of neural-network quantum states, which are used as a variational ansatz for quantum wavefunctions. NetKet provides algorithms for several key tasks in quantum many-body physics and quantum technology, namely quantum state tomography, supervised learning from wavefunction data, and ground state searches for a wide range of customizable lattice models. Our aim is to provide a common platform for open research and to stimulate the collaborative development of computational methods at the interface of machine learning and many-body physics.
Source: SoftwareX
Authors: 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, Filippo Vicentini, Alexander Wietek
Institutions: Flatiron Institute, University of Zurich, Max Planck Institute for the Structure and Dynamics of Matter, University of Colorado Boulder, Radboud University Nijmegen, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Laboratoire de Physique Théorique, Université de Toulouse, Stanford University, Max Planck Institute of Quantum Optics, Technical University of Munich, University of Milan, ETH Zurich, Technische Universität Dresden, California Institute of Technology, University of Southern California, Statewide California Earthquake Center, Université Paris Cité, Laboratoire Matériaux et Phénomènes Quantiques
Language: English
Topic: Quantum many-body systems
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $500
Funders: National Science Foundation, Simons Foundation, National Sleep Foundation, California Department of Fish and Game, Fondation pour la recherche juridique, Flatiron Health, Deutsche Forschungsgemeinschaft, Munich Center for Quantum Science and Technology, European Research Council, H2020 European Research Council
OpenAlex ID: W2928325490