A simple tensor network algorithm for two-dimensional steady states

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Kshetrimayum, A.; Weimer, H.; Orús, R.: A simple tensor network algorithm for two-dimensional steady states. In: Nature Communications 8 (2017), Nr. 1, 1291. DOI: https://doi.org/10.1038/s41467-017-01511-6

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Sum total of downloads: 166




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Abstract: 
Understanding dissipation in 2D quantum many-body systems is an open challenge which has proven remarkably difficult. Here we show how numerical simulations for this problem are possible by means of a tensor network algorithm that approximates steady states of 2D quantum lattice dissipative systems in the thermodynamic limit. Our method is based on the intuition that strong dissipation kills quantum entanglement before it gets too large to handle. We test its validity by simulating a dissipative quantum Ising model, relevant for dissipative systems of interacting Rydberg atoms, and benchmark our simulations with a variational algorithm based on product and correlated states. Our results support the existence of a first order transition in this model, with no bistable region. We also simulate a dissipative spin 1/2 XYZ model, showing that there is no re-entrance of the ferromagnetic phase. Our method enables the computation of steady states in 2D quantum lattice systems.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 94 56.63%
2 image of flag of United States United States 26 15.66%
3 image of flag of China China 11 6.63%
4 image of flag of France France 10 6.02%
5 image of flag of No geo information available No geo information available 5 3.01%
6 image of flag of United Kingdom United Kingdom 3 1.81%
7 image of flag of Indonesia Indonesia 2 1.20%
8 image of flag of Switzerland Switzerland 2 1.20%
9 image of flag of Canada Canada 2 1.20%
10 image of flag of Argentina Argentina 2 1.20%
    other countries 9 5.42%

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