Tensor networks for dynamic spacetimes

Abstract

Existing tensor network models of holography are limited to representing the geometry of constant time slices of static spacetimes. We study the possibility of describing the geometry of a dynamic spacetime using tensor networks. We find it is necessary to give a new definition of length in the network and propose a definition based on the mutual information. We show that by associating a set of networks with a single quantum state and making use of the mutual information based definition of length, a network analogue of the maximin formula can be used to calculate the entropy of boundary regions.

References in corpus (3)

• A class of quantum many-body states that can be efficiently simulated
• Holographic duality from random tensor networks
• Holographic Holes and Differential Entropy

Cited by in corpus (17)

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• Discrete Gravity on Random Tensor Network and Holographic Rényi Entropy
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