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Conjugate Logic
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5888-1291
Atomic Optics Department, Jagiellonian University, Kraków, Poland.
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1082-8325
2023 (English)In: The Quantum-Like Revolution: A Festschrift for Andrei Khrennikov / [ed] Arkady Plotnitsky; Emmanuel Haven, Cham: Springer, 2023, p. 157-180Chapter in book (Refereed)
Abstract [en]

We propose a conjugate logic that can capture the behavior of quantum and quantum-like systems. The proposal is similar to the more generic concept of epistemic logic: it encodes knowledge or perhaps more correctly, predictions about outcomes of future observations on some systems. For a quantum system, these predictions are statements about future outcomes of measurements performed on specific degrees of freedom of the system. The proposed logic will include propositions and their relations, including connectives, but importantly also transformations between propositions on conjugate degrees of freedom of the systems. A key point is the addition of a transformation that allows to convert propositions about single systems into propositions about correlations between systems. We will see that subtle choices of the properties of the transformations lead to drastically different underlying mathematical models; one choice gives stabilizer quantum mechanics, while another choice gives Spekkens’ toy theory. This points to a crucial basic property of quantum and quantum-like systems that can be handled within the present conjugate logic by adjusting the mentioned choice. It also enables a discussion on what behaviors are properly quantum or only quantum-like, relating to that choice and how it manifests in the system under scrutiny. 

Place, publisher, year, edition, pages
Cham: Springer, 2023. p. 157-180
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-197957DOI: 10.1007/978-3-031-12986-5_7Libris ID: r8ftxtwzprq0kqg5ISBN: 9783031129858 (print)ISBN: 9783031129865 (electronic)OAI: oai:DiVA.org:liu-197957DiVA, id: diva2:1798470
Available from: 2023-09-19 Created: 2023-09-19 Last updated: 2023-11-16Bibliographically approved

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Johansson, NiklasLarsson, Jan-Åke

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CiteExportLink to record
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  • apa
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