Barcelona, Spain
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The Earth Sciences Department develops advanced computational models for weather, climate, and air quality prediction, relying on large-scale numerical simulations and AI-driven approaches executed on high-performance computing (HPC) systems. While quantum computing has shown theoretical promise in accelerating certain classes of computational problems, its practical applicability to environmental modelling remains largely unexplored. This work will focus primarily on a critical state-of-the-art review and feasibility assessment of quantum computing and/or quantum AI approaches for numerical simulations, surrogate modelling, and hybrid quantum-classical optimization in Earth system modelling. Where feasible, a small-scale proof-of-concept using quantum simulators may be explored, but the primary objective is analytical evaluation rather than full-scale development. The outcome of this work will help determine realistic research directions for future quantum-enhanced environmental modelling initiatives.
