Holographic duality from random tensor networks
Patrick Hayden, Sepehr Nezami, Xiao-Liang Qi, Nathaniel, Thomas, Michael Walter, Zhao Yang

TL;DR
This paper demonstrates that random tensor networks can model key holographic features of AdS/CFT, including entanglement entropy, bulk-boundary encoding, and corrections to the Ryu-Takayanagi formula, through a classical Ising model analogy.
Contribution
It introduces a novel approach using random tensor networks to replicate holographic duality features, connecting entanglement properties with classical statistical models.
Findings
Entanglement entropy obeys Ryu-Takayanagi formula at large bond dimension.
Boundary regions encode entire bulk entanglement wedge.
Bulk fields induce corrections and topological changes in minimal surfaces.
Abstract
Tensor networks provide a natural framework for exploring holographic duality because they obey entanglement area laws. They have been used to construct explicit toy models realizing many interesting structural features of the AdS/CFT correspondence, including the non-uniqueness of bulk operator reconstruction in the boundary theory. In this article, we explore the holographic properties of networks of random tensors. We find that our models naturally incorporate many features that are analogous to those of the AdS/CFT correspondence. When the bond dimension of the tensors is large, we show that the entanglement entropy of boundary regions, whether connected or not, obey the Ryu-Takayanagi entropy formula, a fact closely related to known properties of the multipartite entanglement of assistance. Moreover, we find that each boundary region faithfully encodes the physics of the entire…
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