papers

Publications (23)

cs.LO2026

Causal and Compositional Abstraction

Robin Lorenz, Sean Tull

Abstracting from a low level to a more explanatory high level of description, and ideally while preserving causal structure, is fundamental to scientific practice, to causal infere…

quant-ph2020

Deriving Dagger Compactness

Sean Tull

Dagger compact structure is a common assumption in the study of physical process theories, but lacks a clear interpretation. Here we derive dagger compactness from more operational…

quant-ph2017

Picture-perfect Quantum Key Distribution

Aleks Kissinger, Sean Tull, Bas Westerbaan

We provide a new way to bound the security of quantum key distribution using only two high-level, diagrammatic features of quantum processes: the compositional behavior of compleme…

cs.LO2023

Causal models in string diagrams

Robin Lorenz, Sean Tull

The framework of causal models provides a principled approach to causal reasoning, applied today across many scientific domains. Here we present this framework in the language of s…

math.CT2015

Categories of relations as models of quantum theory

Chris Heunen, Sean Tull

Categories of relations over a regular category form a family of models of quantum theory. Using regular logic, many properties of relations over sets lift to these models, includi…

cs.AI2024

Towards Compositional Interpretability for XAI

Sean Tull, Robin Lorenz, Stephen Clark +2

Artificial intelligence (AI) is currently based largely on black-box machine learning models which lack interpretability. The field of eXplainable AI (XAI) strives to address this…

q-bio.NC2020

The Mathematical Structure of Integrated Information Theory

Johannes Kleiner, Sean Tull

Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a physical system, suc…

math.CT2019

Quotient Categories and Phases

Sean Tull

We study properties of a category after quotienting out a suitable chosen group of isomorphisms on each object. Coproducts in the original category are described in its quotient by…

math.CT2018

Space in Monoidal Categories

Pau Enrique Moliner, Chris Heunen, Sean Tull

The category of Hilbert modules may be interpreted as a naive quantum field theory over a base space. Open subsets of the base space are recovered as idempotent subunits, which for…

cs.LO2020

Integrated Information in Process Theories

Sean Tull, Johannes Kleiner

We demonstrate how the key notions of Tononi et al.'s Integrated Information Theory (IIT) can be studied within the simple graphical language of process theories, i.e. symmetric mo…

math.CT2020

Monoidal Categories for Formal Concept Analysis

Sean Tull

We investigate monoidal categories of formal contexts, in which states correspond to formal concepts. In particular we examine the category of bonds or Chu correspondences between…

cs.LG2022

The Conceptual VAE

Razin A. Shaikh, Sara Sabrina Zemljic, Sean Tull +1

In this report we present a new model of concepts, based on the framework of variational autoencoders, which is designed to have attractive properties such as factored conceptual d…

quant-ph2020

A Categorical Reconstruction of Quantum Theory

Sean Tull

We reconstruct finite-dimensional quantum theory from categorical principles. That is, we provide properties ensuring that a given physical theory described by a dagger compact cat…

quant-ph2018

Two Roads to Classicality

Bob Coecke, John Selby, Sean Tull

Mixing and decoherence are both manifestations of classicality within quantum theory, each of which admit a very general category-theoretic construction. We show under which condit…

q-bio.NC2023

Formalising and Learning a Quantum Model of Concepts

Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic +1

In this report we present a new modelling framework for concepts based on quantum theory, and demonstrate how the conceptual representations can be learned automatically from data.…

math.CT2019

Monoidal characterisation of groupoids and connectors

Marino Gran, Chris Heunen, Sean Tull

We study internal structures in regular categories using monoidal methods. Groupoids in a regular Goursat category can equivalently be described as special dagger Frobenius monoids…

math-ph2016

Operational Theories of Physics as Categories

Sean Tull

We introduce a new approach to the study of operational theories of physics using category theory. We define a generalisation of the (causal) operational-probabilistic theories of…

quant-ph2019

Categorical Operational Physics

Sean Tull

Many insights into the quantum world can be found by studying it from amongst more general operational theories of physics. In this thesis, we develop an approach to the study of s…

math.CT2022

A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces

Sean Tull

We define a symmetric monoidal category modelling fuzzy concepts and fuzzy conceptual reasoning within Gärdenfors' framework of conceptual (convex) spaces. We propose log-concave…

q-bio.NC2023

From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models

Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic +1

In this article we present a new modelling framework for structured concepts using a category-theoretic generalisation of conceptual spaces, and show how the conceptual representat…

math.CT2020

Tensor Topology

Pau Enrique Moliner, Chris Heunen, Sean Tull

A subunit in a monoidal category is a subobject of the monoidal unit for which a canonical morphism is invertible. They correspond to open subsets of a base topological space in ca…

q-bio.NC2026

Quantum-like Cognition in Process Theories: An Analysis

Sean Tull, Masanao Ozawa

Various effects in human cognition, often considered `non-classical', have been argued to be most naturally modelled by quantum-like models of decision making. We extend this appro…

math.CT2023

Active Inference in String Diagrams: A Categorical Account of Predictive Processing and Free Energy

Sean Tull, Johannes Kleiner, Toby St Clere Smithe

We present a categorical formulation of the cognitive frameworks of Predictive Processing and Active Inference, expressed in terms of string diagrams interpreted in a monoidal cate…