Quantum Computing for Earth Observations and Climate Modelling

Convener: Mierk Schwabe | Co-conveners: Tobias Guggemos, Felix HerbortECSECS

Abstract submission

Quantum computing is a rapidly growing field with potential for significant advancements relevant for Earth sciences, such as machine learning or the solution of partial differential equations. This session welcomes submissions on use cases and demonstrations for quantum computing in Earth observations and climate modelling as well as relevant algorithmic developments.
Expected topics include but are not limited to hybrid classical and quantum machine learning algorithms, quantum computing for solving differential equations, quantum algorithms for Earth image analysis and radar data, quantum hardware-specific algorithms, explainable quantum AI, quantum-enhanced training of machine learning models, time series analysis.