00813nas a2200145 4500000000100000008004100001260004400042100003000086700002200116700001900138700002100157245005400178520041300232020002200645 2019 d bSpringer International PublishingaCham1 aMarcin Przewięźlikowski1 aMichał Grabowski1 aDariusz Kurzyk1 aKatarzyna Rycerz00aSupport for High-Level Quantum Bayesian Inference3 a
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.
a978-3-030-22750-0