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Computable Cross Norm in Tensor Networks and Holography

2022/12/22 by Alexey Milekhin, Milekhin, Alexey, Pratik Rath +3 · 1 citation
Physics and Astronomy · Computer Science · #Cosmology and Gravitation Theories #Computational Physics and Python Applications #Dark Matter and Cosmic Phenomena

paper · pdf · doi:10.48550/arxiv.2212.11978

Abstract

The Computable Cross Norm (CCNR) was recently discussed in Ref.~\citeYin:2022toc as a measure of multipartite entanglement in a condensed matter context. In this short note, we point out that it is closely related to the (2,n)-Rényi reflected entropy, which has been studied in the context of AdS/CFT. We discuss the calculation of the CCNR in random tensor networks as well as holographic CFTs. The holographic dual involves a backreacted entanglement wedge cross section in a geometry sourced by Rényi-2 cosmic branes. We perform explicit calculations for two intervals in a hyperbolic random tensor network as well the vacuum state of a 2D holographic CFT, and analyze the occurence of a connected-to-disconnected phase transition. The example illustrates the validity of the proposal for analytic continuation in holography for arbitrary values of Rényi parameter n. We comment on a symmetry-resolved generalization of this quantity.

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