The project explores the potential of quantum computing to advance materials modelling, focusing on areas related to simulating strongly correlated systems to better understand phenomena such as electrical conductivity and superconductivity, and analysing small molecular systems to evaluate their relevance to broader material applications.
By leveraging emerging quantum algorithms and hybrid approaches, the project aims to bridge fundamental quantum simulations with practical needs in fields such as semiconductors, polymers, biomaterials, and energy storage.
