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SYAD: Symposium SAMOP Dissertation Prize 2022

SYAD 1: SAMOP Dissertation Prize Symposium

SYAD 1.3: Invited Talk

Tuesday, March 15, 2022, 15:00–15:30, Audimax

Machine Learning Methodologies for Quantum Information — •Hendrik Poulsen Nautrup — Institute for Theoretical Physics, University of Innsbruck, 6020 Innsbruck, Austria

Machine learning technologies already permeate our everyday life. In the wake of this rapid progress, we naturally expect machine learning to consolidate its impact on basic research as well. However, with the attention largely on big data and problem solving, machine learning has fallen short of this expectation.

In my talk, I will present three complementary approaches to facilitate the mutual development of machine learning and basic quantum information science. Specifically, I am not only interested in machine learning as a numerical tool to solve complex problems, but also to establish machine learning methodologies as general-purpose tools for scientific research. In this way, we will see how researchers can learn from artificial intelligence (AI), how researchers have to adapt their methods to integrate AI, and how quantum information can facilitate the development of AI for research.