Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/18166
Title: Structure of optimal state discrimination in generalized probabilistic theories
Authors: Bae, Joonwoo
Kim, Dai-Gyoung
Kwek, Leong Chuan
Keywords: Optimal state discrimination
Generalized probabilistic theories
Min-entropy
Issue Date: 2016
Citation: Bae, J., Kim, D. G., & Kwek, L. C. (2016). Structure of optimal state discrimination in generalized probabilistic theories. Entropy, 18(2): 39. http://dx.doi.org/10.3390/e18020039
Abstract: We consider optimal state discrimination in a general convex operational framework, so-called generalized probabilistic theories (GPTs), and present a general method of optimal discrimination by applying the complementarity problem from convex optimization. The method exploits the convex geometry of states but not other detailed conditions or relations of states and effects. We also show that properties in optimal quantum state discrimination are shared in GPTs in general: (i) no measurement sometimes gives optimal discrimination, and (ii) optimal measurement is not unique.
URI: http://hdl.handle.net/10497/18166
ISSN: 1099-4300
Other Identifiers: 10.3390/e18020039
Appears in Collections:Journal Articles

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