Numerical determination of local models in networks
Quantum nonlocality, network nonlocality, local models.
Taking advantage of the fact that the cardinalities of hidden variables in network scenarios can be taken to be finite without loss of generality, a numerical tool for finding explicit local models that reproduce a given statistical behaviour was developed. The numerical procedure was then applied to get numerical estimates to two interesting problems in the context of network non-locality: i) for which critical visibility the GHZ distribution ceases to be local in the triangle scenario with no inputs; ii) what is the boundary of the local set in a given 2-dimensional slice of the probability space for the bilocal network with binary inputs and outputs.