Quantum Algorithms for Earth Observation data

EO data is used for numerous applications where the problem is one of recognition and classification. Such is the case for detection of damages from weather disasters, land use classification, change detection (human or not) or crop structure analysis. With our expertise in Space we can develop the solutions to address various use cases, e.g. Quantum Variational Algorithms (QVA) in which the problem is mapped into a quantum circuit whose parameters are iteratively optimized by the classical procedure. Examples of such methods are QUBO, QAOA, VQE, and Quantum Neural Networks (QNN).