TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCodeb.7-r3.4
TI  - Codebase release 3.4 for NetKet
PY  - 2022/08/24
UR  - https://scipost.org/SciPostPhysCodeb.7-r3.4
JF  - SciPost Physics Codebases
JA  - SciPost Phys. Codebases
SP  - 7-r3.4
A1  - Vicentini, Filippo
AU  - Hofmann, Damian
AU  - Szabó, Attila
AU  - Wu, Dian
AU  - Roth, Christopher
AU  - Giuliani, Clemens
AU  - Pescia, Gabriel
AU  - Nys, Jannes
AU  - Vargas-Calderón, Vladimir
AU  - Astrakhantsev, Nikita
AU  - Carleo, Giuseppe
AB  - We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms for their evaluation and optimization. This new version is built on top of JAX, a differentiable programming and accelerated linear algebra framework for the Python programming language. The most significant new feature is the possibility to define arbitrary neural network ansätze in pure Python code using the concise notation of machine-learning frameworks, which allows for just-in-time compilation as well as the implicit generation of gradients thanks to automatic differentiation. NetKet 3 also comes with support for GPU and TPU accelerators, advanced support for discrete symmetry groups, chunking to scale up to thousands of degrees of freedom, drivers for quantum dynamics applications, and improved modularity, allowing users to use only parts of the toolbox as a foundation for their own code.
ER  -

@Article{10.21468/SciPostPhysCodeb.7,
	title={{NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems}},
	author={Filippo Vicentini and Damian Hofmann and Attila Szabó and Dian Wu and Christopher   Roth and Clemens Giuliani and Gabriel Pescia and Jannes Nys and Vladimir Vargas-Calderón and   Nikita Astrakhantsev and Giuseppe Carleo},
	journal={SciPost Phys. Codebases},
	pages={7},
	year={2022},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.7},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.7},
}

@Article{10.21468/SciPostPhysCodeb.7-r3.4,
	title={{Codebase release 3.4 for NetKet}},
	author={Filippo Vicentini and Damian Hofmann and Attila Szabó and Dian Wu and Christopher   Roth and Clemens Giuliani and Gabriel Pescia and Jannes Nys and Vladimir Vargas-Calderón and   Nikita Astrakhantsev and Giuseppe Carleo},
	journal={SciPost Phys. Codebases},
	pages={7-r3.4},
	year={2022},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.7-r3.4},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.7-r3.4},
}