Apr 18, 2023 · Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these …

Mar 8, 2024 · Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these …

Mar 10, 2025 · In this article, we’ll break down key insights from the research paper Image Classification with Rotation-Invariant Variational Quantum Circuits and explore how quantum …

However, harnessing the robust computational power of quantum computers presents a viable solution. This paper reviews the application of QML in image classification, with quantum …

This project demonstrates how quantum machine learning (QML) can be applied to image classification problems. It leverages quantum algorithms to improve the performance and …

Oct 12, 2022 · When quantum algorithms are used in machine learning systems, it is referred to as “quantum machine learning.” An approach known as “quantum-enhanced machine …

With this work, we aim to show the potential application of Quantum Ma-chine Learning to real-world problems in image classi cation validating and testing a quantum classi cation model …

Dec 1, 2023 · Overview of quantum machine learning and quantum deep learning for image classification This section clarifies the steps and the methodologies for effective image …

We investigate a framework for binary image denoising via restricted Boltzmann machines (RBMs) that introduces a denoising objective in quadratic unconstrained binary optimization …

We model the image classification problem by a quantum spin model. We then use the entanglement entropy to formulate required function complexity for classification of tiny …