
Mats Granath
Docent in Theoretical Physics, University of Gothenburg
Session
Talk
Quantum Machine Learning vs. Machine Learning for Quantum Computing
Thursday 7 April 2022, 09:45–10:15
Biography
Mats Granath is Docent in theoretical physics, employed at the University of Gothenburg (GU). He has an MSc in Engineering physics from Chalmers, a PhD from GU, and postdoc stays at UCLA and Nordita. Recent research has focused on quantum computing, quantum machine learning, and deep learning applications to both physics and engineering problems. He is a project PI at the Wallenberg Centre for Quantum Technology (WACQT), the director of the master’s program Complex adaptive systems at GU and Chalmers, and the coordinator at GU for the Swedish National Infrastructure for Computing (SNIC).