Quantum and physics based machine learning

This program aims to develop novel machine learning methods inspired by quantum and statistical physics. Its research pillars include quantum-enhanced learning algorithms, energy-efficient physical implementations, physics-informed model design, applications of machine learning to quantum information processing, and exploration of new computational paradigms.