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 …

Deep Neural Network (DNN) models have been shown to have high empirical privacy
leakages. Clinical language models (CLMs) trained on clinical data have been used to …

Quantum computing technology is developing at a fast pace. The impact of quantum
computing on the music industry is inevitable. This paper maps the emerging field of …

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 calculus, a …

This thesis introduces quantum natural language processing (QNLP) models based on a
simple yet powerful analogy between computational linguistics and quantum mechanics …

ZX-calculus has proved to be a useful tool for quantum technology with a wide range of
successful applications. Most of these applications are of an algebraic nature. However …

Automated reasoning techniques have been proven of immense importance in classical
applications like formal verification, circuit design and probabilistic inference. The domain of …

Deep learning, despite its remarkable achievements, is still a young field. Like the early
stages of many scientific disciplines, it is marked by the discovery of new phenomena, ad …

This thesis develops the translation between category theory and computational linguistics
as a foundation for natural language processing. The three chapters deal with syntax …

There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for
musical composition and access to large databases for commercialisation through the …