59 citations · 198 across the 18 of their papers we have counts for
20 papers
Tiny Recursive Message Passing
Tommaso Salvatori, Matteo Forasassi, Alexis Toumi +1
Message passing neural networks have shown remarkable performance in algorithmic and constraint reasoning, due to their ability to encode the structure of the task directly in the…
Optyx: A ZX-based Python library for networked quantum architectures
Mateusz Kupper, Richie Yeung, Boldizsár Poór +3
Distributed, large-scale quantum computing will need architectures that combine matter-based qubits with photonic links, but today's software stacks target either gate-based chips…
Experimental quantum-enhanced kernels on a photonic processor
Zhenghao Yin, Iris Agresti, Giovanni de Felice +9
Recently, machine learning had a remarkable impact, from scientific to everyday-life applications. However, complex tasks often imply unfeasible energy and computational power cons…
DisCoPy: the Hierarchy of Graphical Languages in Python
Alexis Toumi, Richie Yeung, Boldizsár Poór +1
DisCoPy is a Python toolkit for computing with monoidal categories. It comes with two flexible data structures for string diagrams: the first one for planar monoidal categories bas…
Higher-Order DisCoCat (Peirce-Lambek-Montague semantics)
Alexis Toumi, Giovanni de Felice
We propose a new definition of higher-order DisCoCat (categorical compositional distributional) models where the meaning of a word is not a diagram, but a diagram-valued higher-ord…
Category Theory for Quantum Natural Language Processing
Alexis Toumi
This thesis introduces quantum natural language processing (QNLP) models based on a simple yet powerful analogy between computational linguistics and quantum mechanics: grammar as…
DisCoPy for the quantum computer scientist
Alexis Toumi, Giovanni de Felice, Richie Yeung
DisCoPy (Distributional Compositional Python) is an open source toolbox for computing with string diagrams and functors. In particular, the diagram data structure allows to encode…
Anaphora and Ellipsis in Lambek Calculus with a Relevant Modality: Syntax and Semantics
Lachlan McPheat, Gijs Wijnholds, Mehrnoosh Sadrzadeh +2
Lambek calculus with a relevant modality of arXiv:1601.06303 syntactically resolves parasitic gaps in natural language. It resembles the Lambek calculus with anapho…
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes im…
How to make qubits speak
Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis +1
This is a story about making quantum computers speak, and doing so in a quantum-native, compositional and meaning-aware manner. Recently we did question-answering with an actual qu…
Functorial Language Models
Alexis Toumi, Alex Koziell-Pipe
We introduce functorial language models: a principled way to compute probability distributions over word sequences given a monoidal functor from grammar to meaning. This yields a m…
Diagrammatic Differentiation for Quantum Machine Learning
Alexis Toumi, Richie Yeung, Giovanni de Felice
We introduce diagrammatic differentiation for tensor calculus by generalising the dual number construction from rigs to monoidal categories. Applying this to ZX diagrams, we show h…
Foundations for Near-Term Quantum Natural Language Processing
Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis +1
We provide conceptual and mathematical foundations for near-term quantum natural language processing (QNLP), and do so in quantum computer scientist friendly terms. We opted for an…
Grammar-aware sentence classification on quantum computers
Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice +1
Natural language processing (NLP) is at the forefront of great advances in contemporary AI, and it is arguably one of the most challenging areas of the field. At the same time, in…
Functorial Language Games for Question Answering
Giovanni de Felice, Elena Di Lavore, Mario Román +1
We present some categorical investigations into Wittgenstein's language-games, with applications to game-theoretic pragmatics and question-answering in natural language processing.
Quantum Natural Language Processing on Near-Term Quantum Computers
Konstantinos Meichanetzidis, Stefano Gogioso, Giovanni de Felice +3
In this work, we describe a full-stack pipeline for natural language processing on near-term quantum computers, aka QNLP. The language-modelling framework we employ is that of comp…
DisCoPy: Monoidal Categories in Python
Giovanni de Felice, Alexis Toumi, Bob Coecke
We introduce DisCoPy, an open source toolbox for computing with monoidal categories. The library provides an intuitive syntax for defining string diagrams and monoidal functors. It…
Incremental Monoidal Grammars
Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh
In this work we define formal grammars in terms of free monoidal categories, along with a functor from the category of formal grammars to the category of automata. Generalising fro…
Functorial Question Answering
Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi
Distributional compositional (DisCo) models are functors that compute the meaning of a sentence from the meaning of its words. We show that DisCo models in the category of sets and…
Towards Compositional Distributional Discourse Analysis
Bob Coecke, Giovanni de Felice, Dan Marsden +1
Categorical compositional distributional semantics provide a method to derive the meaning of a sentence from the meaning of its individual words: the grammatical reduction of a sen…