• Corpus ID: 248965100

# Superposed Random Spin Tensor Networks and their Holographic Properties

@inproceedings{Langenscheidt2022SuperposedRS,
title={Superposed Random Spin Tensor Networks and their Holographic Properties},
author={Simon Langenscheidt},
year={2022}
}
We study criteria for and properties of boundary-to-boundary holography in a class of spin network states deﬁned by analogy to projected entangled pair states (PEPS). In particular, we consider superpositions of states corresponding to well-deﬁned, discrete geometries on a graph. By applying random tensor averaging techniques, we map entropy calculations to a random Ising model on the same graph, with distribution of couplings determined by the relative sizes of the involved geometries. The…

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