Holographic Codes from Enriched Link Entanglement in Spin Networks
Mai Qi, Eugenia Colafranceschi
TL;DR
We address embedding holographic, error-correcting structure into quantum geometry by enriching spin-network links with discrete entanglement variables that interpolate between product and maximally entangled states. The bulk-to-boundary map defined by spin-network contraction is shown to be a co-isometry on average in a large-spin regime, and becomes an exact isometry on a code subspace associated with fixed entanglement patterns, yielding a discrete, geometrically meaningful holographic code within the spin-network Hilbert space. The construction ties tensor-network holography to loop quantum gravity concepts, with gauge invariance and edge-mode–like degrees of freedom naturally emerging from partially entangled links, and provides a framework for entanglement-wedge–like reconstruction in a background independent, fully discrete setting. Potential extensions include adopting Livine–Speziale coherent intertwiners for semiclassical code states, exploring dynamics via spin-foam amplitudes, and applying the framework to coarse-graining and graph-refinement while preserving isometric bulk-to-boundary maps.
Abstract
We introduce an enriched entanglement structure for spin networks, inspired by tensor-network constructions, in which internal links can carry a controlled and discrete amount of entanglement. In the spin-network picture, vertices are dual to simplices and links are dual to their faces. Standard spin-network gluing corresponds to fully identifying two simplices along a face, implemented by a maximally entangled, gauge-invariant singlet state on the corresponding link, while unglued faces correspond to links carrying no entanglement. Working on a complete graph, we promote this binary choice to a controlled and tunable structure by allowing each link to carry a variable amount of entanglement, interpolating between product states and the fully entangled singlet. The additional link variables therefore control not only the amount of entanglement but also the extent to which gauge invariance at internal links is preserved or broken, admitting an interpretation in terms of emergent edge-mode-like degrees of freedom. Within this framework, spin-network contraction defines a bulk-to-boundary map from link-entanglement data to boundary states. Adapting techniques developed in random tensor networks, we show that in a suitable large-spin regime the map is a co-isometry in expectation value. Restricting to a code subspace defined by configurations in which links are either effectively glued or open, with small fluctuations around this pattern, the map becomes an exact isometry. This yields a discrete and geometrically meaningful realization of holographic and error-correcting features within the spin-network Hilbert space.
