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Titlebook: Rethinking Causality in Quantum Mechanics; Christina Giarmatzi Book 2019 Springer Nature Switzerland AG 2019 Quantum Causality.Causality.C

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Christina Giarmatzi sich mit den Möglichkeiten, die die Informationstechnologie seit etwa den 1960er Jahren in breiterem Ausmaß zur Verfügung stellte. Mit den Erkenntnissen aus den ersten, aus heutiger Sicht oft eher simplen Computerexperimenten lag es bald nahe, auch konkretere Entwicklungen und Prozesse, als sie die
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Causal Polytopes,We characterise the set of correlations between quantum labs that respect causality and prove that they form a convex polytope. We show the technique of polytope characterisation—how to obtain the vertices, which are input to a software to obtain the facets—for a bipartite scenario and apply it in the simplest tripartite case.
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Experimental Test of a Classical Causal Model for Quantum Correlations,his model holds. With the same setup, we also obtain correlations that cannot be explained with this causal model, therefore ruling out completely this causal model as an explanation for quantum correlations in a Bell-type experiment.
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A Quantum Causal Discovery Algorithm,x formalism, one can discover the quantum causal model (the connections between the events) by checking which linear constraints the process matrix satisfies. We write an algorithm in MatLab—available on github—that discovers the quantum causal model of a process matrix. It is the first quantum causal discovery algorithm.
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Summary,For the n-lab case we introduce the concept of dynamical causal order. We develop mathematical tools to witness causally non-separable quantum processes and to study causal polytopes. We rule out a causal model for a Bell experiment and develop the first quantum causal discovery algorithm for the discovery of quantum causal models.
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