The quest for quantum advantage, wherein quantum computers surpass the computational
capabilities of classical computers executing state-of-the-art algorithms on well-defined …

In this paper, we discuss the initial attempts at boosting understanding human language
based on deep-learning models with quantum computing. We successfully train a quantum …

This paper concerns the structure of meanings within natural language. Earlier, a framework
named DisCoCirc was sketched that (1) is compositional and distributional (aka …

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

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 are different meanings of the term “compositionality” within science: what one
researcher would call compositional, is not at all compositional for another researcher. The …

This work argues that because Quantum Mechanics (QM) is superb at simulating natural,
physical phenomena, so-called quantum-native phenomena, and that Quantum Natural …

Quantum computing is a form of computing based on the principles of quantum mechanics.
Quantum computing promises to revolutionise society through technological solutions to …

Quantum natural language processing (QNLP) refers to the many approaches developed
within the discipline as a result of the convergence of natural language processing (NLP) …

Abstract The DisCoCat (Distributional Compositional Categorical) framework models
language meaning in terms of both grammar and semantics, thereby offering the …