Coordinated inference, holographic neural networks, and quantum error correction

Abstract

Coordinated inference problems are being introduced as a basis for a neural network representation of the locality problem in the holographic bulk. It is argued that a type of problem originating in the ‘prisoners and hats’ dilemma involves non-local signaling that is also found in the AdS/CFT duality. Neural networks are shown to have a significant role in the connection between the bulk and the boundary, being capable of inferring sufficient information capable of explaining the pre-arrangement of observables in the bulk that would lead to non-local precursor operators in the boundary.