|Title||Support for High-Level Quantum Bayesian Inference|
|Publication Type||Conference Paper|
|Year of Publication||2019|
|Authors||Przewięźlikowski M, Grabowski M, Kurzyk D, Rycerz K|
|Conference Name||Computational Science – ICCS 2019|
|Publisher||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.