The meeting between Natural Language Processing (NLP) and Quantum Computing has
been very successful in recent years, leading to the development of several approaches of …

Abstract Quantum Natural Language Processing (QNLP) deals with the design and
implementation of NLP models intended to be run on quantum hardware. In this paper, we …

We provide conceptual and mathematical foundations for near-term quantum natural
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …

Natural language processing (NLP) is at the forefront of great advances in contemporary AI,
and it is arguably one of the most challenging areas of the field. At the same time, with the …

In this paper, we develop compositional vector-based semantics of positive transitive
sentences using quantum natural language processing (Q-NLP) to compare the …

This survey presents in some detail the main advances that have been recently taking place
in Computational Linguistics towards the unification of the two prominent semantic …

In previous work we gave a mathematical foundation, referred to as DisCoCat, for how
words interact in a sentence in order to produce the meaning of that sentence. To do so, we …

This document is an elementary introduction to string diagrams. It takes a computer science
perspective: rather than using category theory as a starting point, we build on intuitions from …

Quantum theory is often regarded as challenging to learn and teach, with advanced
mathematical prerequisites ranging from complex numbers and probability theory to matrix …

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 …