Highly Entangled 2D Ground States: Tensor Network, Order Parameter and Correlation
Olai B. Mykland, Zhao Zhang
TL;DR
This work constructs exact 3D tensor-network representations for the first known 2D ground states that transition from area-law to extensive entanglement entropy as a deformation parameter $q$ is varied. By mapping 2D spin configurations to tilings in 3D—via colored 6-vertex and polychromatic lozenge tilings—the authors encode local vertex constraints and Dyck-walk correlations into two bulk tensor families, $H(q)/V(q)$ for the 6-vertex case and prism-based tensors for lozenge tilings. The resulting TNs provide explicit weights $q^{V}$ and 1-to-1 correspondences with GS configurations, revealing how entanglement and correlation functions arise from height-function statistics of random surfaces and their hard-wall constraints. They also derive spin and color correlation behaviors across the phase diagram, including boundary-driven order parameters and scaling laws, illustrating how holographic TNs capture nontrivial entangled phases in higher dimensions and offering a path to generalizations to even higher dimensions.
Abstract
In this article we present analytical results on the exact tensor network representations and correlation functions of the first examples of 2D ground states with quantum phase transitions between area law and extensive entanglement entropy. The tensor networks constructed are one dimension higher than the lattices of the physical systems, allowing entangled physical degrees of freedoms to be paired with one another arbitrarily far away. Contraction rules of the internal legs are specified by a simple translationally invariant set of rules in terms of the tesselation of cubes or prisms in 3D space. The networks directly generalize the previous holographic tensor networks for 1D Fredkin and Motzkin chains. We also analyze the correlation in the spin and color sectors from the scaling of the height function of random surfaces, revealing additional characterizations of the exotic phase transitions.
