22 citations · 43 across the 9 of their papers we have counts for
6 papers · 1 filter
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 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…
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…