Bulk-boundary correspondence from hyper-invariant tensor networks

Fuente: arXiv
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Hauptverfasser: Bistroń, Rafał, Hontarenko, Mykhailo, Życzkowski, Karol
Format: Preprint
Veröffentlicht: 2024
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author Bistroń, Rafał
Hontarenko, Mykhailo
Życzkowski, Karol
author_facet Bistroń, Rafał
Hontarenko, Mykhailo
Życzkowski, Karol
contents We introduce a tensor network designed to faithfully simulate the AdS/CFT correspondence, akin to the multi-scale entanglement renormalization ansatz (MERA), following hyper-invariant tensor network. The proposed construction integrates bulk indices within the network architecture to uphold the key features of the HaPPY code, including complementary recovery. This framework accurately reproduces the boundary conformal field theory's (CFT) two- and three-point correlation functions, while considering the image of any bulk operator. Furthermore, we provide an explicit methodology for calculating the correlation functions in an efficient manner. Our findings highlight the physical aspects of the relation between bulk and boundary within the tensor network models, contributing to the understanding and simulation of holographic principles in quantum information.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02029
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bulk-boundary correspondence from hyper-invariant tensor networks
Bistroń, Rafał
Hontarenko, Mykhailo
Życzkowski, Karol
Quantum Physics
High Energy Physics - Theory
We introduce a tensor network designed to faithfully simulate the AdS/CFT correspondence, akin to the multi-scale entanglement renormalization ansatz (MERA), following hyper-invariant tensor network. The proposed construction integrates bulk indices within the network architecture to uphold the key features of the HaPPY code, including complementary recovery. This framework accurately reproduces the boundary conformal field theory's (CFT) two- and three-point correlation functions, while considering the image of any bulk operator. Furthermore, we provide an explicit methodology for calculating the correlation functions in an efficient manner. Our findings highlight the physical aspects of the relation between bulk and boundary within the tensor network models, contributing to the understanding and simulation of holographic principles in quantum information.
title Bulk-boundary correspondence from hyper-invariant tensor networks
topic Quantum Physics
High Energy Physics - Theory
url https://arxiv.org/abs/2409.02029