2019
DOI: 10.1103/physreva.100.022111
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Device-independent test of a delayed choice experiment

Abstract: Wave-particle duality has long been considered a fundamental signature of the non-classical behavior of quantum phenomena, specially in a delayed choice experiment (DCE), where the experimental setup revealing either the particle or wave nature of the system is decided after the system has entered the apparatus. However, as counter-intuitive as it might seem, usual DCEs do have a simple causal explanation. Here, we take a different route and under a natural assumption about the dimensionality of the system und… Show more

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Cited by 32 publications
(27 citation statements)
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References 42 publications
(50 reference statements)
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“…A new approach has been introduced in the last few years to properly analyze these networks, which leverages on the theory of causal inference 38 . Indeed, the causal modeling approach 39 has become a customary and powerful tool to represent classical and quantum networks 27,[40][41][42][43] . In this framework, directed acyclic graphs (DAGs) provide both a graphical and a mathematical way to visualize causal structures (see Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A new approach has been introduced in the last few years to properly analyze these networks, which leverages on the theory of causal inference 38 . Indeed, the causal modeling approach 39 has become a customary and powerful tool to represent classical and quantum networks 27,[40][41][42][43] . In this framework, directed acyclic graphs (DAGs) provide both a graphical and a mathematical way to visualize causal structures (see Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A new approach has been introduced in the last few years to properly analyze these networks, which leverages on the theory of causal inference 38 . Indeed, the causal modeling approach 39 has become a customary and powerful tool to represent classical and quantum networks 27,[40][41][42][43] . In this framework, directed acyclic graphs (DAGs) provide both a graphical and a mathematical way to visualize causal structures (see Fig.…”
Section: Resultsmentioning
confidence: 99%
“…H.-L. Huang and Y.-H. Luo contributed equally to this work. During the final stages of manuscript preparation, we became aware of a similar work by Polino et al [29], which was carried out simultaneously and independently.…”
Section: Acknowledgmentsmentioning
confidence: 99%