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Field
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(link ). Our expertise comprises various aspects of quantum computing, from quantum chemistry and optimization to machine learning (ML). With our activities in quantum-assisted optimization, we
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substantially reduces GHG emissions, reliance on a carbon intensive electricity grid remains a key environmental challenge. In this thesis, optimization tools will be used to determine the optimal design and
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topics in semiconductor technology and power electronics. The mission of the »Modelling and Artificial Intelligence« department is to optimize processes, components and systems, including their reliability
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-driven discovery of new physics experiments to test quantum-gravity and observe gravitational waves (examples here and here ) Inventing state-of-the-art AI-driven exploration, optimization, and search
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mechanical engineering, automation technology, computer science, mathematics or a comparable subject You are interested in the use of artificial intelligence in production technology You are optimally already
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
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characterization and benchmarking protocols for their suitability to provide efficient cost functions for the optimal control of gate calibration in full-stack quantum computers and simulators. Based on your
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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should demonstrate strong experience in optimizing neural networks through quantization, error modeling, and co-training techniques that consider real-world hardware imperfections. What you will do Develop
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laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass spectrometry Experiments at synchrotron radiation facilities Analysis of powder X-ray diffraction (PXRD) and