Weather and Water Crisis Modelling/Simulation

Classical simulations struggle with the computational complexity of high-resolution modeling needed for accurate extreme weather predictions affecting water systems.

Quantum algorithms, such as Variational Quantum Algorithms (VQAs) and Quantum Physics-Informed Neural Networks (QPINNs), can potentially solve the underlying partial differential equations (PDEs) more efficiently.

More accurate and faster simulations of extreme weather events (e.g., rainfall, floods) can lead to better water management and disaster preparedness.