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Christian Mendl conducts research in computational physics and quantum systems, with a focus on quantum computing and nonequilibrium statistical physics. His work particularly emphasizes algorithm development and simulation of strongly correlated quantum systems on high-performance computers, utilizing tensor network methods and quantum Monte Carlo techniques. He also explores methodologies inspired by artificial neural networks. In the field of statistical physics, Professor Mendl investigates systems within the Kardar-Parisi-Zhang universality class. He studied physics and mathematics at the Technical University of Munich and obtained his PhD from Ludwig Maximilian University of Munich in 2012. Following this, he worked as a postdoctoral researcher alongside Herbert Spohn, focusing on topics in statistical physics. His academic journey includes a Feodor Lynen fellowship from the Humboldt Foundation, which he used to research models of high-temperature superconductors at Stanford University in 2015. In 2017, he was appointed as a Junior Professor at TU Dresden, and in 2019, he became the Rudolf Mößbauer Assistant Professor at the Technical University of Munich.
TU Dresden • Dresden
Appointed as a Junior Professor to lead research in statistical physics and quantum systems.
Technical University of Munich • Munich
Conducting research in advanced quantum computing and statistical physics.