Quantum Causal Modelling

New Journal of Physics 18 (6):063032 (2016)

Authors
Sally Shrapnel
University of Queensland
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.
Keywords Interventionist causation  Quantum causation  Causal Modelling
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Citations of this work BETA

Quantum Computing.Amit Hagar & Michael Cuffaro - 2019 - Stanford Encyclopedia of Philosophy.
Discovering Quantum Causal Models.Sally Shrapnel - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.
The View From a Wigner Bubble.Eric G. Cavalcanti - 2021 - Foundations of Physics 51 (2):1-31.
What Can Bouncing Oil Droplets Tell Us About Quantum Mechanics?Peter W. Evans & Karim P. Y. Thébault - 2020 - European Journal for Philosophy of Science 10 (3):1-32.

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