Estimating the volume of correlation sets in causal networks
Causal networks beyond that in the paradigmatic Bell's theorem can lead to new kinds and
applications of nonclassical behavior. Their study, however, has been hindered by the fact …
applications of nonclassical behavior. Their study, however, has been hindered by the fact …
Relating Wigner's Friend scenarios to Nonclassical Causal Compatibility, Monogamy Relations, and Fine Tuning
Nonclassical causal modeling was developed in order to explain violations of Bell
inequalities while adhering to relativistic causal structure and $ faithfulness $---that is …
inequalities while adhering to relativistic causal structure and $ faithfulness $---that is …
Quantum non-classicality in the simplest causal network
Bell's theorem prompts us with a fundamental inquiry: what is the simplest scenario leading
to the incompatibility between quantum correlations and the classical theory of causality …
to the incompatibility between quantum correlations and the classical theory of causality …
Observational-interventional Bell inequalities
Generalizations of Bell's theorem, particularly within quantum networks, are now being
analyzed through the lens of causal inference. However, the exploration of interventions, a …
analyzed through the lens of causal inference. However, the exploration of interventions, a …
Causal Data Fusion with Quantum Confounders
From the modern perspective of causal inference, Bell's theorem--a fundamental signature
of quantum theory--is a particular case where quantum correlations are incompatible with …
of quantum theory--is a particular case where quantum correlations are incompatible with …
Quantum Non-classicality from Causal Data Fusion
Bell's theorem, a cornerstone of quantum theory, shows that quantum correlations are
incompatible with a classical theory of cause and effect. Through the lens of causal …
incompatible with a classical theory of cause and effect. Through the lens of causal …
On the physics of nested Markov models: a generalized probabilistic theory perspective
Determining potential probability distributions with a given causal graph is vital for causality
studies. To bypass the difficulty in characterizing latent variables in a Bayesian network, the …
studies. To bypass the difficulty in characterizing latent variables in a Bayesian network, the …
Aspectos computacionais de contextualidade e não-classicalidade
GHC Silva - 2024 - teses.usp.br
No que se segue, o leitor encontrará uma dissertação de doutorado no uso de métodos e
abordagens computacionais para o estudo de contextualidade e outros fenômenos não …
abordagens computacionais para o estudo de contextualidade e outros fenômenos não …