DLR – GERMAN AEROSPACE CENTER (DE)
The main scope of the QA4EO project (Quantum Advantage for Earth Observation) is to identify three to five intractable Earth Observation Use-Cases (EO UCs) of practical importance based on their computational advantage as well as strategic value that can be usefully expressed and solved by a quantum computing approach on quantum computers (QC). The proposed EO UCs are:
To assess the selected EO UCs, we evaluate their hardness by using the computational complexity measures, and their hardness implies that conventional classical computers cannot solve efficiently our identified EO UCs but QC promise to tackle them efficiently.
| Scientific Contributions | Conference and Workshop | Link |
| Quantum Computing for Climate Change Detection, Climate Modeling, and Climate Digital Twin | techrxiv | Access |
| Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment | IEEE Transactions on Quantum Engineering | Access |
| Quantum-inspired tensor network for Earth science | IGARSS 2023, Pasadena, USA, and QTML 2023, Geneva, CH |
Access |
| Technical Contributions | Link | |
| QA4EO Study Executive Summary | Access | |
| QA4EO Study Final report | Access | |
| Use-Case 1 Climate Adaptation Digital Twin | executive summary pdf | extended report pdf |
| Use-Case 2 Uncertainty Quantification for RS Data | executive summary pdf | extended report pdf |
| Use-Case 3 Quantum Algorithms for EO Image Processing | executive summary pdf | extended report pdf |
| Use-Case 4 Feature Selection and Extraction for Satellite Hyperspectral Imagery | executive summary pdf | extended report pdf |
