Department of Computer Science AGH and IBM Software Laboratory in Krakow invite to Krakow Quantum Informatics Seminar (KQIS)
• understand and discuss current problems in quantum informatics,
• discuss new quantum computing technologies,
• exchange ideas and research results,
• integrate information across different research teams,
• build a community around quantum informatics.
Venue: Centrum Informatyki (D17) ul. Kawiory 21, 30-055 Kraków, room 1.19
Wednesday, May 29, 2019, 16:00-17:00
Michał Grabowski, Marcin Przewięźlikowski
Department of Computer Science, AGH Krakow
Topic: Quantum Bayesian Inference
At first, this talk will give introduction to Bayesian Networks  and their use cases, with particular focus on how they can be used to model games . We will describe their quantum generalization by introducing entanglements between the variables they model . We will describe two versions of quantum Bayesian inference algorithms.
Next, we will present AcausalNets.jl library for modeling quantum Bayesian networks and performing inference on them written in Julia language. Finally, we will present our reproduction of experiments with a quantum version of Monty Hall game  performed with our software.
 Jonathan S. Yedidia, William T. Freeman, and Yair Weiss. Exploring artificial intelligence in the new millennium. chapter Understanding Belief Propagation and Its Generalizations, pages 239–269. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2003.
 Dariusz Kurzyk and Adam Glos. Quantum inferring acausal structures and the monty hall problem. Quantum Information Processing, 15(12):4927– 4937, Dec 2016.
 M.S. Leifer and D. Poulin. Quantum graphical models and belief propagation. Annals of Physics, 323(8):1899 – 1946, 2008.