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Physics Reports
Article . 2023 . Peer-reviewed
License: Elsevier TDM
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Article . 2023
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https://doi.org/10.52843/cassy...
Article . 2024 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2021
License: arXiv Non-Exclusive Distribution
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General probabilistic theories: An introduction

General probabilistic theories: an introduction
Authors: Martin Plávala;

General probabilistic theories: An introduction

Abstract

We introduce the framework of general probabilistic theories (GPTs for short). GPTs are a class of operational theories that generalize both finite-dimensional classical and quantum theory, but they also include other, more exotic theories, such as the boxworld theory containing Popescu–Rohrlich boxes. We provide in-depth explanations of the basic concepts and elements of the framework of GPTs, and we also prove several well-known results. The review is self-contained and it is meant to provide the reader with consistent introduction to GPTs. Our tools mainly include convex geometry, but we also introduce diagrammatic notation and we often express equations via diagrams.

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Keywords

Quantum Physics, GPTs, Quantum state spaces, operational and probabilistic concepts, quantum information theory, FOS: Physical sciences, General and philosophical questions in quantum theory, Introductory exposition (textbooks, tutorial papers, etc.) pertaining to quantum theory, Quantum information, communication, networks (quantum-theoretic aspects), Probabilistic metric spaces, operational theories, Quantum Physics (quant-ph), Convex sets in \(3\) dimensions (including convex surfaces), foundations of quantum theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 1%
Top 10%
Top 1%
Green