[HTML][HTML] Systematic literature review: Quantum machine learning and its applications

D Peral-García, J Cruz-Benito… - Computer Science …, 2024 - Elsevier
Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …

Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications

U Ullah, B Garcia-Zapirain - IEEE Access, 2024 - ieeexplore.ieee.org
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …

Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision

EH Houssein, Z Abohashima, M Elhoseny… - Expert Systems with …, 2022 - Elsevier
Abstract Machine learning has become a ubiquitous and effective technique for data
processing and classification. Furthermore, due to the superiority and progress of quantum …

Quantum machine learning in medical image analysis: A survey

L Wei, H Liu, J Xu, L Shi, Z Shan, B Zhao, Y Gao - Neurocomputing, 2023 - Elsevier
With the outstanding superposition and entanglement properties of quantum computing,
quantum machine learning has attracted widespread attention in many fields, such as …

Quantum machine learning applications in the biomedical domain: A systematic review

D Maheshwari, B Garcia-Zapirain, D Sierra-Sosa - Ieee Access, 2022 - ieeexplore.ieee.org
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …

Quantum machine learning—an overview

KA Tychola, T Kalampokas, GA Papakostas - Electronics, 2023 - mdpi.com
Quantum computing has been proven to excel in factorization issues and unordered search
problems due to its capability of quantum parallelism. This unique feature allows …

Variational quantum classifier for binary classification: Real vs synthetic dataset

D Maheshwari, D Sierra-Sosa, B Garcia-Zapirain - IEEE access, 2021 - ieeexplore.ieee.org
Nowadays, quantum-enhanced methods have been widely studied to solve machine
learning related problems. This article presents the application of a Variational Quantum …

Classification with quantum machine learning: A survey

Z Abohashima, M Elhosen, EH Houssein… - arxiv preprint arxiv …, 2020 - arxiv.org
Due to the superiority and noteworthy progress of Quantum Computing (QC) in a lot of
applications such as cryptography, chemistry, Big data, machine learning, optimization …

A comprehensive survey on quantum machine learning and possible applications

MJ Umer, MI Sharif - International Journal of E-Health and Medical …, 2022 - igi-global.com
Abstract Machine learning is a branch of artificial intelligence that is being used at a large
scale to solve science, engineering, and medical tasks. Quantum computing is an emerging …

An image denoising technique using quantum wavelet transform

S Chakraborty, SH Shaikh, A Chakrabarti… - International Journal of …, 2020 - Springer
The amalgamation of 'Quantum computing'with image processing represents the various
ways of handling images for different purposes. In this paper, an image denoising scheme …