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Mats Granath is a Senior Lecturer at the University of Gothenburg, specializing in Quantum Error Correction and Machine Learning applied to quantum systems. He leads research initiatives at the Wallenberg Centre for Quantum Technology, focusing on efficient simulation of noisy quantum circuits and deep machine learning techniques for quantum data processing. His teaching includes courses related to machine learning for physicists and the fundamentals of artificial intelligence. Dr. Granath has supervised numerous Master thesis projects that explore cutting-edge topics such as data-driven decoding methods for quantum error correction and the application of neural networks in quantum computing. He has published extensively in the fields of quantum physics and machine learning, contributing to significant advancements in understanding strongly correlated systems and optimizing quantum algorithm performance.
University of Gothenburg • Gothenburg, Sweden
Teaching courses on Quantum Physics and Machine Learning, supervising research and students.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).