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Found 2 papers, 2 papers with code
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
This article aims to investigate how circuit-based hybrid Quantum Convolutional Neural Networks (QCNNs) can be successfully employed as image classifiers in the context of remote sensing.
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
This concept paper aims to provide a brief outline of quantum computers, explore existing methods of quantum image classification techniques, so focusing on remote sensing applications, and discuss the bottlenecks of performing these algorithms on currently available open source platforms.
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