|Support for High-Level Quantum Bayesian Inference
|Year of Publication
|Przewięźlikowski M, Grabowski M, Kurzyk D, Rycerz K
|Computational Science – ICCS 2019
|Springer International Publishing
In this paper, we present AcausalNets.jl - a library supporting inference in a quantum generalization of Bayesian networks and their application to quantum games. The proposed solution is based on modern approach to numerical computing provided by Julia language. The library provides a high-level functions for Bayesian inference that can be applied to both classical and quantum Bayesian networks.