Quantum-inspired neural networks for time-series air pollution prediction and control of the most polluted region in the world
Researchers in the field of quantum computing are primarily focused on quantum-inspired algorithms, which function effectively on classical computers while incorporating quantum principles. A significant challenge in heavily polluted areas is accurately predicting air pollution levels.
