Quantum model averaging

Ferrie, C

Quantum model averaging

Ferrie, C

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Publication Type:: Journal Article
Citation:: New Journal of Physics, 2014, 16
Issue Date:: 2014-09-24

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Field	Value	Language
dc.contributor.author	Ferrie, C https://orcid.org/0000-0003-2736-9943	en_US
dc.date.issued	2014-09-24	en_US
dc.identifier.citation	New Journal of Physics, 2014, 16	en_US
dc.identifier.issn	1367-2630	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118945
dc.description.abstract	© 2014 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft. Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model. Here we apply a model averaging technique to mitigate the risk of overconfident estimates of model parameters in two examples: (1) selecting the rank of the state in tomography and (2) selecting the model for the fidelity decay curve in randomized benchmarking.	en_US
dc.relation.ispartof	New Journal of Physics	en_US
dc.relation.isbasedon	10.1088/1367-2630/16/9/093035	en_US
dc.subject.classification	Fluids & Plasmas	en_US
dc.title	Quantum model averaging	en_US
dc.type	Journal Article
utslib.citation.volume	16	en_US
utslib.for	0206 Quantum Physics	en_US
utslib.for	02 Physical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© 2014 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft. Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model. Here we apply a model averaging technique to mitigate the risk of overconfident estimates of model parameters in two examples: (1) selecting the rank of the state in tomography and (2) selecting the model for the fidelity decay curve in randomized benchmarking.

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http://hdl.handle.net/10453/118945