Quantum machine learning: from physics to software engineering

A Melnikov, M Kordzanganeh, A Alodjants… - Advances in Physics …, 2023 - Taylor & Francis
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

A survey of quantum computing for finance

D Herman, C Googin, X Liu, A Galda, I Safro… - arXiv preprint arXiv …, 2022 - arxiv.org
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

t| ket⟩: a retargetable compiler for NISQ devices

S Sivarajah, S Dilkes, A Cowtan… - Quantum Science …, 2020 - iopscience.iop.org
We present t| ket⟩, a quantum software development platform produced by Cambridge
Quantum Computing Ltd. The heart of t| ket⟩ is a language-agnostic optimising compiler …

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 …

Picturing quantum processes: A first course on quantum theory and diagrammatic reasoning

B Coecke, A Kissinger - … Conference, Diagrams 2018, Edinburgh, UK, June …, 2018 - Springer
We provide a self-contained introduction to quantum theory using a unique diagrammatic
language. Far from simple visual aids, the diagrams we use are mathematical objects in …

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 …

Barren plateaus in quantum tensor network optimization

EC Martín, K Plekhanov, M Lubasch - Quantum, 2023 - quantum-journal.org
We analyze the barren plateau phenomenon in the variational optimization of quantum
circuits inspired by matrix product states (qMPS), tree tensor networks (qTTN), and the …

[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 …