Preparation and measurement in quantum memory models

Aliakbarzadeh, M; Kitto, K

Preparation and measurement in quantum memory models

Aliakbarzadeh, M Kitto, K

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Publication Type:: Journal Article
Citation:: Journal of Mathematical Psychology, 2018, 83 pp. 24 - 34
Issue Date:: 2018-04-01

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Field	Value	Language
dc.contributor.author	Aliakbarzadeh, M	en_US
dc.contributor.author	Kitto, K https://orcid.org/0000-0001-7642-7121	en_US
dc.date.issued	2018-04-01	en_US
dc.identifier.citation	Journal of Mathematical Psychology, 2018, 83 pp. 24 - 34	en_US
dc.identifier.issn	0022-2496	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132619
dc.description.abstract	© 2018 Elsevier Inc. 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.	en_US
dc.relation.ispartof	Journal of Mathematical Psychology	en_US
dc.relation.isbasedon	10.1016/j.jmp.2018.03.002	en_US
dc.subject.classification	Experimental Psychology	en_US
dc.title	Preparation and measurement in quantum memory models	en_US
dc.type	Journal Article
utslib.citation.volume	83	en_US
utslib.for	1702 Cognitive Sciences	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	1701 Psychology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	83	en_US

Abstract:

© 2018 Elsevier Inc. 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132619