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Distinguishability measures and entropies for general probabilistic theories [PDF]
Reports on Mathematical Physics, 2010 As a part of the construction of an information theory based on general probabilistic theories, we propose and investigate the several distinguishability measures and "entropies" in general probabilistic theories. As their applications, no-cloning theorems, information-disturbance theorems are reformulated, and a bound of the accessible informations is
Koji Nuida
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Extensions and Restrictions of Generalized Probabilistic Theories
BesMasters, 2022exaly +2 more sources
Information processing in generalized probabilistic theories [PDF]
Physical Review A, 2007 24 pages, 8 figures. v2 Complete rewrite, lots of new results, references added, title changed. v3 A new measurement-disturbance theorem. Cloning discussion simplified.
Jonathan Barrett
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Generalized probabilistic theories without the no-restriction hypothesis [PDF]
Physical Review A, 2013 15 pages, 5 ...
Janotta, Peter, Lal, Raymond
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Information transfer in generalized probabilistic theories
Physics Letters, Section A: General, Atomic and Solid State Physics, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhaoqi Wu, Jianhui Wang, Chuanxi Zhu
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A generalized probabilistic theory of causal relevance
Synthese, 1993I advance a new theory of causal relevance, according to which causal claims convey information about conditional probability functions. This theory is motivated by the problem of disjunctive factors, which haunts existing probabilistic theories of causation.
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