Generalized probabilistic theory

Generalized probabilistic theory - Wikipedia

The framework of GPTs has been used to define hypothetical non-quantum physical theories which nonetheless possess quantum theory's most remarkable features, ...

[2103.07469] General probabilistic theories: An introduction - arXiv

We introduce the framework of general probabilistic theories (GPTs for short). GPTs are a class of operational theories that generalize both finite-dimensional ...

General probabilistic theories: An introduction - ScienceDirect.com

GPTs are a class of operational theories that generalize both finite-dimensional classical and quantum theory, but they also include other, more exotic ...

Generalized Probabilistic Theories - IQOQI Vienna

Generalized Probabilistic Theories. Quantum theory and classical probability theory are special cases of generalized probabilistic theories (GPTs), i.e. ...

General probabilistic theories: An introduction - arXiv

GPTs are a class of opera- tional theories that generalize both finite-dimensional classical and quantum theory, but they also include other, ...

GPTs

The generalized probabilistic theories (GPTs) framework provides one such approach: built from fundamental concepts, it considers a simple mathematical ...

Multisystem measurements in generalized probabilistic theories and ...

The state space of a composite system is formed by taking some kind of tensor product between the individual state spaces. A minimal requirement ...

what determines the structure of quantum theory? - IOPscience

The framework of generalized probabilistic theories is a powerful tool for studying the foundations of quantum physics.

MARTIN PLAVALA: General probabilistic theories in phase space

"General probabilistic theories in phase space, the harmonic oscillator and the hydrogen atom" We show that the framework of general ...

Extensions and Restrictions of Generalized Probabilistic Theories

Jonathan Steinberg discusses the mathematical foundations of GPTs using the language of Archimedean order unit spaces and investigates the algebraic nature of ...

Contextuality of General Probabilistic Theories

Abstract. Generalized contextuality refers to our inability of explaining measurement statistics using a context-independent probabilistic and ...

Analysing causal structures in generalised probabilistic theories

Here we study causal structures in a broad range of theories, which include both quantum and classical theory as special cases.

General probabilistic theories: An introduction - Semantic Scholar

Semantic Scholar extracted view of "General probabilistic theories: An introduction" by Martin Pl'avala.

what determines the structure of quantum theory? - NASA/ADS

The framework of generalized probabilistic theories is a powerful tool for studying the foundations of quantum physics. It provides the basis for a variety ...

A generalized probabilistic theory of causal relevance - SpringerLink

I advance a new theory of causal relevance, according to which causal claims convey information about conditional probability functions. This theory is mot.

Probabilistic theories and reconstructions of quantum theory - SciPost

These lecture notes provide a basic introduction to the framework of generalized probabilistic theories (GPTs) and a sketch of a reconstruction of quantum ...

Generalized Probabilistic Theories Without the No-Restriction ...

The framework of generalized probabilistic theories (GPT) is a widely-used approach for studying the physical foundations of quantum theory. The standard GPT ...

General Probabilistic Theories with a Gleason-type Theorem

Abstract. Gleason-type theorems for quantum theory allow one to recover the quantum state space by assuming that (i) states consistently assign ...

what determines the structure of quantum theory? - IOPscience

The framework of generalized probabilistic theories is a powerful tool for studying the foundations of quantum physics.

The signaling dimension in generalized probabilistic theories

Here, we derive analytical and algorithmic techniques to compute the signaling di- mension for any given system of any given generalized probabilistic theory.