QNLP in practice: Running compositional models of meaning on a quantum computer
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 …
implementation of NLP models intended to be run on quantum hardware. In this paper, we …
Foundations for near-term quantum natural language processing
We provide conceptual and mathematical foundations for near-term quantum natural
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …
[PDF][PDF] Grammar-aware question-answering on quantum computers
K Meichanetzidis, A Toumi… - arXiv preprint …, 2020 - cqwbkpro.s3.eu-west-2.amazonaws …
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 …
and it is arguably one of the most challenging areas of the field. At the same time, with the …
The mathematics of text structure
B Coecke - Joachim Lambek: The Interplay of Mathematics, Logic …, 2021 - Springer
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 …
words interact in a sentence in order to produce the meaning of that sentence. To do so, we …
An introduction to string diagrams for computer scientists
R Piedeleu, F Zanasi - arXiv preprint arXiv:2305.08768, 2023 - arxiv.org
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 …
perspective: rather than using category theory as a starting point, we build on intuitions from …
Quantum natural language processing on near-term quantum computers
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 …
quantum computers, aka QNLP. The language-modelling framework we employ is that of …
Distilling text into circuits
V Wang-Mascianica, J Liu, B Coecke - arXiv preprint arXiv:2301.10595, 2023 - arxiv.org
This paper concerns the structure of meanings within natural language. Earlier, a framework
named DisCoCirc was sketched that (1) is compositional and distributional (aka …
named DisCoCirc was sketched that (1) is compositional and distributional (aka …
Open system categorical quantum semantics in natural language processing
Originally inspired by categorical quantum mechanics (Abramsky and Coecke, LiCS'04), the
categorical compositional distributional model of natural language meaning of Coecke …
categorical compositional distributional model of natural language meaning of Coecke …
Category theory for quantum natural language processing
A Toumi - arXiv preprint arXiv:2212.06615, 2022 - arxiv.org
This thesis introduces quantum natural language processing (QNLP) models based on a
simple yet powerful analogy between computational linguistics and quantum mechanics …
simple yet powerful analogy between computational linguistics and quantum mechanics …
Quantum mathematics in artificial intelligence
In the decade since 2010, successes in artificial intelligence have been at the forefront of
computer science and technology, and vector space models have solidified a position at the …
computer science and technology, and vector space models have solidified a position at the …