Estimating the volume of correlation sets in causal networks

G Camillo, P Lauand, D Poderini, R Rabelo, R Chaves - Physical Review A, 2024 - APS
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 …

Relating Wigner's Friend scenarios to Nonclassical Causal Compatibility, Monogamy Relations, and Fine Tuning

Y Yīng, MM Ansanelli, A Di Biagio, E Wolfe… - Quantum, 2024 - quantum-journal.org
Nonclassical causal modeling was developed in order to explain violations of Bell
inequalities while adhering to relativistic causal structure and $ faithfulness $---that is …

Quantum non-classicality in the simplest causal network

P Lauand, D Poderini, R Rabelo, R Chaves - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Observational-interventional Bell inequalities

D Poderini, R Nery, G Moreno, S Zamora, P Lauand… - Physical Review A, 2024 - APS
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 …

Causal Data Fusion with Quantum Confounders

P Lauand, BN Bekele, E Wolfe - arxiv preprint arxiv:2405.19278, 2024 - arxiv.org
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 …

Quantum Non-classicality from Causal Data Fusion

P Lauand, BN Bekele, E Wolfe - arxiv preprint arxiv:2405.19252, 2024 - arxiv.org
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 …

On the physics of nested Markov models: a generalized probabilistic theory perspective

X Zhang, Y Wang - arxiv preprint arxiv:2411.11614, 2024 - arxiv.org
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 …

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 …