Quantum image processing is paramount in image processing-based research areas
nowadays due to the less computational time. This paper presents the quantum mechanic …

This article analyzes and compares various Quantum learning algorithms on big data. The
main contribution of this article is to provide a new machine-learning approach using …

Quantum image processing is a significant branch of Quantum computing and is widely
used in various industrial and research-based applications. Quantum image processing …

Convolutional neural networks (CNN) are used mainly to treat problems with many images
characteristic of deep learning. In this work, we propose a hybrid image classification model …

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 …

Quantum image processing and its various applications developed in the last few years.
These applications utilize different quantum algorithms for higher accuracy and reduced …

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A quantum Boolean image processing methodology is presented in this work, with special
emphasis in image denoising. A new approach for internal image representation is outlined …

We propose a Hybrid Quantum Classical Algorithm (HQCA) for image classification using a
Quantum Kernel which is efficient to produce than a traditional kernel for performing the …

Various operations can be performed on images using rapid quantum image processing
techniques. Quantum parallel computing can be done using quantum state superposition …