Preparation and measurement in quantum memory models
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Accepted Version
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44081627. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
Quantum Cognition has delivered a number of models for semantic memory, but to date these have tended to assume pure states and projective measurement. Here we relax these assumptions. A quantum inspired model of human word association experiments will be extended using a density matrix representation of human memory and a POVM based upon non-ideal measurements. Our formulation allows for a consideration of key terms like measurement and contextuality within a rigorous modern approach. This approach both provides new conceptual advances and suggests new experimental protocols.
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ID Code: | 150940 | ||
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Item Type: | Contribution to Journal (Journal Article) | ||
Refereed: | Yes | ||
ORCID iD: |
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Measurements or Duration: | 11 pages | ||
Keywords: | Quantum cognition, Projective valued measurement (PVM), Non-ideal measurement (POVM), Density matrix, Semantic memory, Contextuality | ||
DOI: | 10.1016/j.jmp.2018.03.002 | ||
ISSN: | 0022-2496 | ||
Pure ID: | 44081627 | ||
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Schools > School of Mathematical Sciences |
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Copyright Owner: | 2018 Elsevier Inc. | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 07 Feb 2020 06:33 | ||
Last Modified: | 03 Mar 2024 11:28 |
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