@inproceedings{bibcite_15366,
  author = {Marcin Przewi{\k e}{\'z}likowski and Micha{\l} Grabowski and Dariusz Kurzyk and Katarzyna Rycerz},
  title = {Support for High-Level Quantum Bayesian Inference},
  abstract = {<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>
},
  year = {2019},
  journal = {Computational Science {\textendash} ICCS 2019},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-030-22750-0},
  language = {eng},
}