00826nas a2200157   4500000000100000000000100001008004100002260004400043100003000087700002200117700001900139700002100158245005400179520041300233020002200646       2019                            d  bSpringer International PublishingaCham1 aMarcin Przewięźlikowski1 aMichał Grabowski1 aDariusz Kurzyk1 aKatarzyna Rycerz00aSupport for High-Level Quantum Bayesian Inference3 a<p>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.</p>
  a978-3-030-22750-0