Beata Zjawin (ICTQT): Inequality Constraints in Directed Acyclic Graphs with Hidden Variables
Quantum Information and Quantum Computing Seminars CTP PAS
Directed acyclic graphs (DAGs) with hidden variables are often used to characterize causal relations between variables in a system. When some variables are unobserved, DAGs imply a notoriously complicated set of constraints on the distribution of observed variables. I will discuss how to construct inequality constraints implied by graphical criterions that can be applied to hidden variable DAGs and learn from them about the true causal model. The focus of my presentation will be on causal models that exhibit d-separation relations and with a promise that unobserved variables have known cardinalities (arXiv:2109.05656), and on causal models that exhibit e-separation relations (arXiv:2107.07087). In addition, I will discuss the relationship between causal inference and quantum foundations, and the possibility of leveraging our results to study causal influence in models that involve quantum systems.
Other seminars
Giulio Chiribella (University of Hong Kong): Optimal programming of quantum gates - Duplicate27-06-2022
Marco Tomamichel (National University of Singapore): Quantum advantage with noisy shallow circuits17-05-2022
R. Patron (University of Edinburgh): Limitations of optimization algorithms on noisy quantum devices02-03-2022
Marcel Hinsche (FU Berlin): Learnability of the output distributions of local quantum circuits25.05.2022
Julio de Vicente: Genuine multipartite entanglement and nonlocality in pair-entangled network states20.04.2022
Laura Mancinska (QMATH, Copenhagen): Fixed-size schemes for certification of large quantum systems17-11-2021
Yelena Guyanova (IQOQI, Vienna): Ideal Projective Measurements Have Infinite Resource Costs10-11-2021
Hamed Mohammady (ULdB): Measurement disturbance and conservation laws in quantum mechanics03-11-2021