Structure of Optimal State Discrimination in Generalized Probabilistic Theories
- Title
- Structure of Optimal State Discrimination in Generalized Probabilistic Theories
- Author
- 김대경
- Keywords
- optimal state discrimination; generalized probabilistic theories; min-entropy
- Issue Date
- 2016-01
- Publisher
- MDPI AG
- Citation
- ENTROPY, v. 18, No. 2, Article no. 39
- 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://www.mdpi.com/1099-4300/18/2/39/htmhttp://hdl.handle.net/20.500.11754/48490
- ISSN
- 1099-4300
- DOI
- 10.3390/e18020039
- Appears in Collections:
- COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > ETC
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