Understanding Contextuality in General Probabilistic Theories

This article explains contextuality within General Probabilistic Theories (GPTs), focusing on prepare-and-measure scenarios that describe how systems like qubits behave under different states and measurements. By outlining GPT systems as convex sets of states and effects, it highlights how contextuality emerges, why composites and tensor products matter, and how these frameworks extend beyond classical systems to capture quantum-like behaviors.