Self-testing of quantum systems: a review

I Šupić, J Bowles - Quantum, 2020 - quantum-journal.org
Self-testing is a method to infer the underlying physics of a quantum experiment in a black
box scenario. As such it represents the strongest form of certification for quantum systems. In …

Quantum natural language processing: Challenges and opportunities

R Guarasci, G De Pietro, M Esposito - Applied sciences, 2022 - mdpi.com
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 …

ZX-calculus for the working quantum computer scientist

J van de Wetering - arXiv preprint arXiv:2012.13966, 2020 - arxiv.org
The ZX-calculus is a graphical language for reasoning about quantum computation that has
recently seen an increased usage in a variety of areas such as quantum circuit optimisation …

[图书][B] Categories for Quantum Theory: an introduction

C Heunen, J Vicary - 2019 - books.google.com
Monoidal category theory serves as a powerful framework for describing logical aspects of
quantum theory, giving an abstract language for parallel and sequential composition, and a …

Reducing the number of non-Clifford gates in quantum circuits

A Kissinger, J van de Wetering - Physical Review A, 2020 - APS
We present a method for reducing the number of non-Clifford quantum gates, in particularly
T-gates, in a circuit, an important task for efficiently implementing fault-tolerant quantum …

[HTML][HTML] Graph-theoretic Simplification of Quantum Circuits with the ZX-calculus

R Duncan, A Kissinger, S Perdrix… - Quantum, 2020 - quantum-journal.org
We present a completely new approach to quantum circuit optimisation, based on the ZX-
calculus. We first interpret quantum circuits as ZX-diagrams, which provide a flexible, lower …

QNLP in practice: Running compositional models of meaning on a quantum computer

R Lorenz, A Pearson, K Meichanetzidis… - Journal of Artificial …, 2023 - jair.org
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 …

[HTML][HTML] Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus

C Zhao, XS Gao - Quantum, 2021 - quantum-journal.org
In this paper, we propose a general scheme to analyze the gradient vanishing phenomenon,
also known as the barren plateau phenomenon, in training quantum neural networks with …

Foundations for near-term quantum natural language processing

B Coecke, G de Felice, K Meichanetzidis… - arXiv preprint arXiv …, 2020 - arxiv.org
We provide conceptual and mathematical foundations for near-term quantum natural
language processing (QNLP), and do so in quantum computer scientist friendly terms. We …

PyZX: Large scale automated diagrammatic reasoning

A Kissinger, J van de Wetering - arXiv preprint arXiv:1904.04735, 2019 - arxiv.org
The ZX-calculus is a graphical language for reasoning about ZX-diagrams, a type of tensor
networks that can represent arbitrary linear maps between qubits. Using the ZX-calculus, we …