In recent years, the development of quantum annealers has enabled experimental
demonstrations and has increased research interest in applications of quantum annealing …

Cloud detection is a pivotal satellite image pre-processing step that can be performed on
board a satellite to tag useful images. It can reduce the amount of data to downlink by …

Background Quantum computing integrated with machine learning (ML) offers novel
solutions in various fields, including healthcare. The synergy between quantum computing …

This study explores the potential of quantum machine learning and quantum computing for
climate change detection, climate modeling, and climate digital twin. We additionally …

The industry of quantum technologies is rapidly expanding, offering promising opportunities
for various scientific domains. Among these emerging technologies, Quantum Machine …

Enhancing agricultural methods through the utilization of Earth observation and artificial
intelligence (AI) has emerged as a significant concern. The ability to quantify soil parameters …

The logic structures implemented in Field Programmable Gate Arrays (FPGAs) are often
critical and their correct operation is vital. FPGA devices are often used in areas where there …

sifier effectively deployed in an array of pattern recognition and classification tasks. In this
work, we consider extending classic SVMs with quantum kernels and applying them to …

In satellite remote sensing images, the existence of clouds has an occlusion effect on
ground information. Different degrees of clouds make it difficult for existing models to …

Detection of clouds and shadows in remote sensing imagery is important due to its wide
range of applications. There are a lot of applications in remote sensing images such as …