In this master project, you will develop and apply discriminative AI models enabling the accurate and transferable prediction of quantum properties (e.g., energy gaps) and effects (e.g., spin-orbit coupling), as well as the ultra-fast screening of large combinatorial spaces. Synergies with genetic algorithms will be also investigated. Applications will focus on quantum control through the fine-tuning of quantum properties and effects having a strong influence on systems of broad interest, including catalysts and transition metal qubits.
Prerequisite knowledge:
Recommended courses to take during first semesters of master programme: