A Mathematical Framework for Causally Structured Dilations and its Relation to Quantum Self-Testing
Nicholas Gauguin Houghton-Larsen

TL;DR
This paper develops a category-theoretic framework for comparing different implementations of input-output processes in physical theories, with applications to quantum self-testing and introducing new metrics for quantum channels.
Contribution
It introduces a novel categorical approach to dilations and causality in physical theories, providing an operational foundation for quantum self-testing.
Findings
A new metric for quantum channels, the purified diamond distance.
A formalism for causality using causal channels and contractions.
Operational foundation for quantum self-testing.
Abstract
The motivation for this thesis was to recast quantum self-testing [MY98,MY04] in operational terms. The result is a category-theoretic framework for discussing the following general question: How do different implementations of the same input-output process compare to each other? In the proposed framework, an input-output process is modelled by a causally structured channel in some fixed theory, and its implementations are modelled by causally structured dilations formalising hidden side-computations. These dilations compare through a pre-order formalising relative strength of side-computations. Chapter 1 reviews a mathematical model for physical theories as semicartesian symmetric monoidal categories. Many concrete examples are discussed, in particular quantum and classical information theory. The key feature is that the model facilitates the notion of dilations. Chapter 2 is devoted…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
