Causality and Duality in Multipartite Generalized Probabilistic Theories
Yiying Chen, Peidong Wang, Zizhu Wang

TL;DR
This paper explores the fundamental connection between causality frameworks in physics, establishing a duality between no-signaling principles and classical processes, and introduces a multipartite classical process extending quantum switch concepts.
Contribution
It demonstrates a duality between causality frameworks in GPTs and process matrix frameworks, and introduces a multipartite classical process extending quantum switch capabilities.
Findings
Established duality between no-signaling and classical processes in tripartite systems
Extended results to multipartite systems, linking different causality frameworks
Proposed a 4-partite classical process extending quantum switch with certification inequality
Abstract
Causality is one of the most fundamental notions in physics. Generalized probabilistic theories (GPTs) and the process matrix framework incorporate it in different forms. However, a direct connection between these frameworks remains unexplored. By demonstrating the duality between no-signaling principle and classical processes in tripartite classical systems, and extending some results to multipartite systems, we first establish a strong link between these two frameworks, which are two sides of the same coin. This provides an axiomatic approach to describe the measurement space within both box world and local theories. Furthermore, we describe a logically consistent 4-partite classical process acting as an extension of the quantum switch. By incorporating more than two control states, it allows both parallel and serial application of operations. We also provide a device-independent…
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Taxonomy
TopicsBayesian Modeling and Causal Inference
