Speaker: Dr. Raoul Heese, Fraunhofer Institute for Industrial Mathematics ITWM Title: Applied Quantum Machine Learning Research at Fraunhofer ITW Abstract: In this talk, I will give a brief overview of several research topics on quantum machine learning that are currently being studied at the Fraunhofer Society… Read More »Zoom-talk: Applied Quantum Machine Learning Research at Fraunhofer ITW
Speaker: Alexander Stasik, Department of Mathematics and Cybernetics, SINTEF Title: Quantum reservoir computing for machine learning Abstract: Reservoir computing and extreme learning machines are alternative approaches in machine learning. They use a random non-linear system to transform the input and only learn a linear mapping… Read More »Zoom-talk: Quantum reservoir computing for machine learning
Speaker: Morten Hjorth-Jensen, Michigan State University and University of Oslo Title: From Quantum Computing to Quantum Machine Learning Time: Mar 3, 2021 11:30 AM Oslo Abstract: In this presentation I will give a brief survey of our ongoing and planned activity in quantum computing and… Read More »Zoom-Talk: From Quantum Computing to Quantum Machine Learning