학술논문

Comparison of Quantum Neural Network Algorithms For Earth Observation Data Classification
Document Type
Conference
Source
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :780-783 Jul, 2023
Subject
Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Earth
Computers
Machine learning algorithms
Quantum algorithm
Neural networks
Pipelines
Classification algorithms
quantum machine learning
Earth observation
remote sensing
Language
ISSN
2153-7003
Abstract
This article describes a practical Earth Observation use case that would benefit from quantum computing. We analyze three quantum neural network algorithms. We implemented one of the algorithms on the EuroSAT dataset. We compare the algorithms with respect to complexity and degree of quantization. We believe that the algorithms we propose would be useful for the remote sensing community when quantum computing technologies become widely available. 1