The Tensor Network Theory

Sarah Al-Assam; Stephen R. Clark; Dieter Jaksch

doi:10.1088/1742-5468/aa7df3

The Tensor Network Theory

Sarah Al-Assam, Stephen R. Clark, Dieter Jaksch

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Abstract

In this technical paper we introduce the Tensor Network Theory (TNT) library - an open-source software project aimed at developing robust, easy to use and highly optimised code for TNT calculations, available at http://www.tensornetworktheory.org. The aims of this paper are threefold: to (i) give a brief but broad introduction to TNT, (ii) give an overview of the structure of TNT library, and (iii) describe in detail the core tensor features of the library.

Original language	English
Article number	093102
Number of pages	36
Journal	Journal of Statistical Mechanics-Theory and Experiment
Volume	2017
Issue number	9
DOIs	https://doi.org/10.1088/1742-5468/aa7df3
Publication status	Published - 18 Sep 2017

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Keywords

quant-ph
cond-mat.other

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Al-Assam, S., Clark, S. R., & Jaksch, D. (2017). The Tensor Network Theory. Journal of Statistical Mechanics-Theory and Experiment, 2017(9), [093102]. https://doi.org/10.1088/1742-5468/aa7df3

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N2 - In this technical paper we introduce the Tensor Network Theory (TNT) library - an open-source software project aimed at developing robust, easy to use and highly optimised code for TNT calculations, available at http://www.tensornetworktheory.org. The aims of this paper are threefold: to (i) give a brief but broad introduction to TNT, (ii) give an overview of the structure of TNT library, and (iii) describe in detail the core tensor features of the library.

AB - In this technical paper we introduce the Tensor Network Theory (TNT) library - an open-source software project aimed at developing robust, easy to use and highly optimised code for TNT calculations, available at http://www.tensornetworktheory.org. The aims of this paper are threefold: to (i) give a brief but broad introduction to TNT, (ii) give an overview of the structure of TNT library, and (iii) describe in detail the core tensor features of the library.

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KW - cond-mat.other

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10.1088/1742-5468/aa7df3

tnt_part_jstat_resub
This is an author-created, in-copyedited version of an article published in Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing Limited is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. the Version of record is available online at: http://iopscience.iop.org/article/10.1088/1742-5468/aa7df3/meta
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http://dx.doi.org/10.1088/1742-5468/aa7df3

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The Tensor Network Theory

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