A survey of quantum computing for finance
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …
computers during this decade and have transformative impact on numerous industry sectors …
[HTML][HTML] Quantum natural language processing: Challenges and opportunities
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 …
been very successful in recent years, leading to the development of several approaches of …
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 …
lambeq: An efficient high-level python library for quantum NLP
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 …
Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and …
Membership inference attack susceptibility of clinical language models
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 …
leakages. Clinical language models (CLMs) trained on clinical data have been used to …
Diagrammatic differentiation for quantum machine learning
We introduce diagrammatic differentiation for tensor calculus by generalising the dual
number construction from rigs to monoidal categories. Applying this to ZX diagrams, we …
number construction from rigs to monoidal categories. Applying this to ZX diagrams, we …
A CCG-based version of the DisCoCat framework
R Yeung, D Kartsaklis - arXiv preprint arXiv:2105.07720, 2021 - arxiv.org
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 …
studying compositional aspects of language at the level of semantics, its strong dependency …
Quantum linear optics via string diagrams
G De Felice, B Coecke - arXiv preprint arXiv:2204.12985, 2022 - arxiv.org
We establish a formal bridge between qubit-based and photonic quantum computing. We do
this by defining a functor from the ZX calculus to linear optical circuits. In the process we …
this by defining a functor from the ZX calculus to linear optical circuits. In the process 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 …