Search Results for author: James E. T. Smith

Found 2 papers, 1 papers with code

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

1 code implementation29 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

Cheap and near exact CASSCF with large active spaces

no code implementations24 Aug 2017 James E. T. Smith, Adam A. Holmes, Bastien Mussard, Sandeep Sharma

We use the recently-developed Heat-bath Configuration Interaction (HCI) algorithm as an efficient active-space solver to perform multi-configuration self-consistent field calculations (HCISCF) with large active spaces.

Chemical Physics Strongly Correlated Electrons Computational Physics

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