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Benchmarking treewidth as a practical component of tensor network simulations
Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms. The computational complexity of a tensor network simulation depends on the tensor ranks and the order in which they are contracted....
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| Publicado en: | PLoS One |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6298732/ https://ncbi.nlm.nih.gov/pubmed/30562341 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0207827 |
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