What Specific Problems in Epidemiology Can Quantum Computing Address?
Disease Modeling: Quantum algorithms can more efficiently model the spread of diseases, taking into account numerous variables and interactions that classical models might struggle with. Genomic Analysis: Quantum computers can process and compare large genomic datasets much faster, aiding in the identification of genetic factors in disease susceptibility and resistance. Drug Discovery: By rapidly simulating molecular interactions, quantum computers can expedite the development of new treatments and vaccines. Predictive Analytics: Quantum algorithms can enhance predictive models, improving the accuracy of outbreak forecasts and resource allocation.
