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[HTML][HTML] Systematic literature review: Quantum machine learning and its applications
Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …
Quantum machine learning revolution in healthcare: a systematic review of emerging perspectives and applications
Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …
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
Abstract Machine learning has become a ubiquitous and effective technique for data
processing and classification. Furthermore, due to the superiority and progress of quantum …
processing and classification. Furthermore, due to the superiority and progress of quantum …
Quantum machine learning in medical image analysis: A survey
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 has attracted widespread attention in many fields, such as …
Quantum machine learning applications in the biomedical domain: A systematic review
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …
disciplines, which tend to range from chemistry to agriculture, natural language processing …
Quantum machine learning—an overview
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 …
problems due to its capability of quantum parallelism. This unique feature allows …
Variational quantum classifier for binary classification: Real vs synthetic dataset
Nowadays, quantum-enhanced methods have been widely studied to solve machine
learning related problems. This article presents the application of a Variational Quantum …
learning related problems. This article presents the application of a Variational Quantum …
Classification with quantum machine learning: A survey
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 …
applications such as cryptography, chemistry, Big data, machine learning, optimization …
A comprehensive survey on quantum machine learning and possible applications
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 …
scale to solve science, engineering, and medical tasks. Quantum computing is an emerging …
An image denoising technique using quantum wavelet transform
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 …
ways of handling images for different purposes. In this paper, an image denoising scheme …