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Cited by 259

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Quantum causal modelling

Open access
Costa, Fabio, Shrapnel, Sally·2016·New Journal of Physics

Abstract

Causal modelling provides a powerful set of tools for identifying causal structure from observed correlations. It is well known that such techniques fail for quantum systems, unless one introduces 'spooky' hidden mechanisms. Whether one can produce a genuinely quantum framework in order to discover causal structure remains an open question. Here we introduce a new framework for quantum causal modelling that allows for the discovery of causal structure. We define quantum analogues for core features of classical causal modelling techniques, including the causal Markov condition and faithfulness. Based on the process matrix formalism, this framework naturally extends to generalised structures with indefinite causal order.

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Metadata

Authors
Costa, F., & Shrapnel, S.
Venue
New Journal of Physics
Published
2016-06-24
Volume
18
Issue
6
Pages
063032
ISSN
1367-2630 (ISSN-L)
OpenAlex
W2473976255
Cited by
259
References
9
FWCI
25.45
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Quantum causal modelling. https://app.cochat.ai/papers/10.1088/1367-2630/18/6/063032
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Costa, F., & Shrapnel, S. (2016). Quantum causal modelling. New Journal of Physics. https://doi.org/10.1088/1367-2630/18/6/063032

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.