17 citations · 38 across the 4 of their papers we have counts for
5 papers
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…
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…
A CCG-Based Version of the DisCoCat Framework
Richie Yeung, Dimitri Kartsaklis
While the DisCoCat model (Coecke et al., 2010) has been proved a valuable tool for studying compositional aspects of language at the level of semantics, its strong dependency on pr…
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…
Diagrammatic Design and Study of Ansätze for Quantum Machine Learning
Richie Yeung
Given the rising popularity of quantum machine learning (QML), it is important to develop techniques that effectively simplify commonly adopted families of parameterised quantum ci…