Quantum tomographic reconstruction: a Bayesian approach using the extended Kalman filter

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31378

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DC Field	Value	Language
dc.contributor.author	Obaideen K	-
dc.contributor.author	AlShabi M	-
dc.contributor.author	Gadsden SA	-
dc.contributor.author	Bonny T	-
dc.contributor.editor	Hayduk M	-
dc.contributor.editor	Donkor E	-
dc.date.accessioned	2025-03-04T00:34:28Z	-
dc.date.available	2025-03-04T00:34:28Z	-
dc.date.issued	2024-06-07	-
dc.identifier.isbn	978-1-5106-7374-8	-
dc.identifier.issn	0277-786X	-
dc.identifier.issn	1996-756X	-
dc.identifier.uri	http://hdl.handle.net/11375/31378	-
dc.publisher	SPIE, the international society for optics and photonics	-
dc.subject	40 Engineering	-
dc.subject	4009 Electronics, Sensors and Digital Hardware	-
dc.title	Quantum tomographic reconstruction: a Bayesian approach using the extended Kalman filter	-
dc.type	Article	-
dc.date.updated	2025-03-04T00:34:26Z	-
dc.contributor.department	Mechanical Engineering	-
dc.identifier.doi	https://doi.org/10.1117/12.3015939	-
Appears in Collections:	Mechanical Engineering Publications

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