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Information processing in convex operational theories

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arxiv 0908.2352 v1 pith:XI6I5IT4 submitted 2009-08-17 quant-ph

classification quant-ph
keywords quantumclassicalabramskyapproachcategoricalcoeckeinformationmechanics
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In order to understand the source and extent of the greater-than-classical information processing power of quantum systems, one wants to characterize both classical and quantum mechanics as points in a broader space of possible theories. One approach to doing this, pioneered by Abramsky and Coecke, is to abstract the essential categorical features of classical and quantum mechanics that support various information-theoretic constraints and possibilities, e.g., the impossibility of cloning in the latter, and the possibility of teleportation in both. Another approach, pursued by the authors and various collaborators, is to begin with a very conservative, and in a sense very concrete, generalization of classical probability theory--which is still sufficient to encompass quantum theory--and to ask which "quantum" informational phenomena can be reproduced in this much looser setting. In this paper, we review the progress to date in this second programme, and offer some suggestions as to how to link it with the categorical semantics for quantum processes developed by Abramsky and Coecke.

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  1. Generalized Probability Theory: notes for a short course

    quant-ph 2025-01 unverdicted novelty 3.0 of 10

    An expert survey presenting GPTs as generalized probability theory through Foulis-Randall test spaces and their linearized ordered-vector-space form.

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