Source code to derive graph properties of contextuality from linear programs
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Prior to reading, this analysis assumes you are familiar with the following works:
- [1] Acin, A., Fritz, T., Leverrier, A., and Sainz, A. B. (2015). A combinatorial approach to nonlocality and contextuality. Communications in Mathematical Physics, 334(2):533–628.
- [2] Obeid, Abdul (2021) Modelling contextuality amidst causal influences by means of a computationally tractable combinatorial approach. PhD thesis, Queensland University of Technology.
This iPython Jupyter Notebook serves as an interactive and clarified method through which one can understand the process used to derive the novel graph properties of [2] which characterise contextuality. For this example, I'll be deriving the graph properties for a Bell-CHSH scenario.
Publications
Obeid, Abdul (2021) Modelling contextuality amidst causal influences by means of a computationally tractable combinatorial approach. PhD thesis, Queensland University of Technology.
https://eprints.qut.edu.au/226105/
Research areas
Quantum
information,
computation
and
communication
Cite this collection
Obeid, Abdul Karim; (2021): Source code to derive graph properties of contextuality from linear programs. Queensland University of Technology. (Software) https://doi.org/10.25912/RDF_1638832666100
Licence
Copyright
© Abdul Karim Obeid, 2021.
Data file types
iPython Jupyter notebooks, PNG image files, and Python source code.
Dates of development
From 2018-01-01 to 2021-01-01
Connections
Has association with
Contacts
Other
Date record created:
2021-11-03T02:12:19
Date record modified:
2021-12-07T09:24:23
Record status:
Published - Open Access