Sequential Quantum Channel Discrimination

Li, Y; Hirche, C; Tomamichel, M

Sequential Quantum Channel Discrimination

Li, Y Hirche, C Tomamichel, M

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: IEEE International Symposium on Information Theory - Proceedings, 2022, 2022-June, pp. 270-275
Issue Date:: 2022-01-01

Closed Access

	Filename	Description	Size
	Sequential_Quantum_Channel_Discrimination.pdf	Published version	1 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Li, Y
dc.contributor.author	Hirche, C
dc.contributor.author	Tomamichel, M https://orcid.org/0000-0001-5410-3329
dc.date	2022-06-26
dc.date.accessioned	2023-04-18T03:34:04Z
dc.date.available	2023-04-18T03:34:04Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE International Symposium on Information Theory - Proceedings, 2022, 2022-June, pp. 270-275
dc.identifier.isbn	9781665421591
dc.identifier.issn	2157-8095
dc.identifier.uri	http://hdl.handle.net/10453/169917
dc.description.abstract	We consider the sequential quantum channel discrimination problem using adaptive and non-adaptive strategies. In this setting the number of uses of the underlying quantum channel is not fixed but a random variable that is either bounded in expectation or with high probability. We show that, by using adaptive strategies for the discrimination problem, both types of error probabilities decrease to zero exponentially fast and the rates are characterized by the measured relative entropy between two quantum channels. Allowing for quantum memory, we see that the optimal rates are given by the regularized channel relative entropy. We also characterize the error exponents in the discrimination problem if non-adaptive strategies are used.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE International Symposium on Information Theory - Proceedings
dc.relation.ispartof	2022 IEEE International Symposium on Information Theory (ISIT)
dc.relation.isbasedon	10.1109/ISIT50566.2022.9834768
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Sequential Quantum Channel Discrimination
dc.type	Conference Proceeding
utslib.citation.volume	2022-June
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-18T03:34:03Z
pubs.finish-date	2022-07-01
pubs.publication-status	Published
pubs.start-date	2022-06-26
pubs.volume	2022-June

Abstract:

We consider the sequential quantum channel discrimination problem using adaptive and non-adaptive strategies. In this setting the number of uses of the underlying quantum channel is not fixed but a random variable that is either bounded in expectation or with high probability. We show that, by using adaptive strategies for the discrimination problem, both types of error probabilities decrease to zero exponentially fast and the rates are characterized by the measured relative entropy between two quantum channels. Allowing for quantum memory, we see that the optimal rates are given by the regularized channel relative entropy. We also characterize the error exponents in the discrimination problem if non-adaptive strategies are used.

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

http://hdl.handle.net/10453/169917