The Munich Quantum Valley develops different quantum computing demonstrators including the software stack up to the application. Indeed, looking early at potential applications of quantum computers can help us to understand for which kind of use cases quantum computing is promising in perspective. Furthermore, this perspective allows us to formulate requirements towards the quantum computing hardware to be built as well as towards the software stack, including the integration of HPC systems and quantum computers. This talk will discuss what we can already learn from the use cases available in the wider environment of the Munich Quantum Valley, and where further information is required to shape the development of hardware and software.
Since the beginning of 2023, PD Dr. habil. Jeanette Miriam Lorenz has been head of the department »Quantum-enhanced AI« at the Fraunhofer Institute for Cognitive Systems IKS. She has already been working as a Senior Scientist at Fraunhofer IKS since April 2021 on enabling reliable and robust quantum computing. Jeanette Lorenz studied physics and mathematics at the Friedrich-Alexander-Universität (FAU) Erlangen and the Ludwig-Maximilians-Universität (LMU) Munich. Her studies were followed by many years of research in experimental high-energy particle physics at CERN (European Organization for Nuclear Research) and in Munich. She has led numerous international research groups both at LMU Munich and at CERN.
Her specialty was the search for dark matter particle candidates at the Large Hadron Collider. In 2014, she also received her PhD with honors from LMU Munich. In 2020, she habilitated and has since been teaching at the Faculty of Physics at LMU as lecturer. At Fraunhofer IKS, she leads the projects in the field of quantum computing. The goal of her work is to significantly advance the development of quantum technology in Germany.