Open-source shared training sets for quantum dot control machine learning algorithms

Summary
Use system-specific theoretical models produced in WP3 to generate labeled data sets for classically simulatable system sizes (< 12 quantum dots)* Develop geometric graph-based translationally invariant machine learning models and benchmark them on the theoretically generated data sets.