Random tensor networks with nontrivial links

Understand

Random tensor networks are a powerful toy model for understanding the entanglement structure of holographic quantum gravity.

• However, unlike holographic quantum gravity, their entanglement spectra are flat.
• It has therefore been argued that a better model consists of random tensor networks with link states that are not maximally entangled, i.e., have nontrivial spectra.
• In this work, we initiate a systematic study of the entanglement properties of these networks.