TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCodeb.52
TI  - YASTN: Yet another symmetric tensor networks; A Python library for Abelian symmetric tensor network calculations
PY  - 2025/02/26
UR  - https://scipost.org/SciPostPhysCodeb.52
JF  - SciPost Physics Codebases
JA  - SciPost Phys. Codebases
SP  - 52
A1  - Rams, Marek
AU  - Wojtowicz, Gabriela
AU  - Sinha, Aritra
AU  - Hasik, Juraj
AB  - We present an open-source tensor network Python library for quantum many-body simulations. At its core is an Abelian-symmetric tensor, implemented as a sparse block structure managed by a logical layer on top of a dense multidimensional array backend. This serves as the basis for higher-level tensor network algorithms operating on matrix product states and projected entangled pair states. An appropriate backend, such as PyTorch, gives direct access to automatic differentiation (AD) for cost-function gradient calculations and execution on GPU and other supported accelerators. We show the library performance in simulations with infinite projected entangled-pair states, such as finding the ground states with AD and simulating thermal states of the Hubbard model via imaginary time evolution. For these challenging examples, we identify and quantify sources of the numerical advantage exploited by the symmetric-tensor implementation.
ER  -

@Article{10.21468/SciPostPhysCodeb.52,
	title={{YASTN: Yet another symmetric tensor networks; A Python library for Abelian symmetric tensor network calculations}},
	author={Marek M. Rams and Gabriela Wójtowicz and Aritra Sinha and Juraj Hasik},
	journal={SciPost Phys. Codebases},
	pages={52},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.52},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.52},
}

@Article{10.21468/SciPostPhysCodeb.52-r1.2,
	title={{Codebase release 1.2 for YASTN}},
	author={Marek M. Rams and Gabriela Wójtowicz and Aritra Sinha and Juraj Hasik},
	journal={SciPost Phys. Codebases},
	pages={52-r1.2},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.52-r1.2},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.52-r1.2},
}