Projects iPAWNS

In Silico Prototypes for Addressable and Scalable Molecular Quantum Gates

Assembly of platforms for quantum information processing with atomic precision can be achieved by grafting and organizing molecular spins on a surface, but their experimental investigation is resource-intensive. Therefore, this project will develop a predictive computational platform to design scalable surface-based molecular quantum gates. Using multiscale ab initio methods and AI, it will investigate Nanographene spin systems with electrically tunable magnetic exchange, proposing new hybrid architectures for solid-state quantum computing.