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NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
[article]
2019
arXiv
pre-print
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 wave functions. NetKet provides algorithms for several key tasks in quantum many-body physics and quantum technology, namely quantum state tomography, supervised learning from wave-function data, and ground
arXiv:1904.00031v1
fatcat:hkzhtg6eofd2pc4b7fk5kzrpty