Conformal properties of hyperinvariant tensor networks

Hyperinvariant tensor networks (hyMERA) were introduced as a way to combine the successes of perfect tensor networks (HaPPY) and the multiscale entanglement renormalization ansatz (MERA) in simulations of the AdS/CFT correspondence. Although this new class of tensor network shows much potential for...

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Detalles Bibliográficos
Autores principales: Steinberg, Matthew, Prior, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752860/
https://www.ncbi.nlm.nih.gov/pubmed/35017572
http://dx.doi.org/10.1038/s41598-021-04375-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752860/
https://www.ncbi.nlm.nih.gov/pubmed/35017572
http://dx.doi.org/10.1038/s41598-021-04375-5

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