82 citations · 249 across the 22 of their papers we have counts for
24 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…
A foundation model for electrodermal activity data
Leonardo Alchieri, Matteo Garzon, Lidia Alecci +4
Foundation models have recently extended beyond natural language and vision to timeseries domains, including physiological signals. However, progress in electrodermal activity (EDA…
Federated Concept-Based Models: Interpretable models with distributed supervision
Dario Fenoglio, Arianna Casanova, Francesco De Santis +6
Concept-based Models (CMs) enhance interpretability in deep learning by grounding predictions in human-understandable concepts. However, concept annotations are costly and rarely a…
A dataflow programming framework for linear optical distributed quantum computing
Giovanni de Felice, Boldizsár Poór, Cole Comfort +4
Photonic systems offer a promising platform for interconnecting quantum processors and enabling scalable, networked architectures. Designing and verifying such architectures requir…
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…
Finding trail covers: near-optimal decompositions of graph states as linear fusion networks
William Cashman, Giovanni de Felice, Aleks Kissinger
Quantum compilation requires the development of new algorithms that optimise the cost of implementing quantum computations on physical hardware. Often this gives rise to problems w…
Fusion and flow: formal protocols to reliably build photonic graph states
Giovanni de Felice, Boldizsár Poór, Lia Yeh +1
Photonics offers a promising platform for implementations of measurement-based quantum computing. Recently proposed fusion-based architectures aim to achieve universality and fault…
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…
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon +2
Virtual sensing techniques allow for inferring signals at new unmonitored locations by exploiting spatio-temporal measurements coming from physical sensors at different locations.…
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…
Light-Matter Interaction in the ZXW Calculus
Giovanni de Felice, Razin A. Shaikh, Boldizsár Poór +3
In this paper, we develop a graphical calculus to rewrite photonic circuits involving light-matter interactions and non-linear optical effects. We introduce the infinite ZW calculu…
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…
Monoidal Streams for Dataflow Programming
Elena Di Lavore, Giovanni de Felice, Mario Román
We introduce monoidal streams: a generalization of causal stream functions to monoidal categories. In the same way that streams provide semantics to dataflow programming with pure…
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…
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…
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…
There and back again: A circuit extraction tale
Miriam Backens, Hector Miller-Bakewell, Giovanni de Felice +2
Translations between the quantum circuit model and the measurement-based one-way model are useful for verification and optimisation of quantum computations. They make crucial use o…
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…