Christian Mendl

Christian Mendl is a Rudolf Mößbauer Tenure Track Assistant Professor at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Institute for Advanced Study (TUM-IAS). His career includes a postdoctoral position at Stanford University (2015-2017) under a Feodor Lynen Fellowship from the Alexander von Humboldt Foundation, a Junior Professorship at TU Dresden (2017-2019), and a PhD in Physics from LMU Munich (2012).

• Education: Physics and Mathematics (TUM)
• Appointments: Rudolf Mößbauer Assistant Professor (TUM, 2019), Junior Professor (TU Dresden, 2017), Postdoc (Stanford, 2015-2017)

Research Focus: Mendl specializes in Quantum Computing, Computational Physics (tensor networks, quantum Monte Carlo, neural-network quantum states), Statistical and Non-Equilibrium Physics, and Numerical Simulation. His work bridges quantum information theory with condensed matter physics, emphasizing efficient quantum algorithms and simulators for complex systems.

Scientific Contributions: Recent publications highlight advancements in quantum circuit optimization, tree tensor network simulations, block encoding of operators, and quantum-assisted optimization for problems like the capacitated vehicle routing and Toda lattice dynamics. His methods often integrate machine learning with quantum information to address challenges in Hamiltonian simulation and quantum error analysis.

• Awards: Alexander von Humboldt Feodor Lynen Fellowship, Boehringer Ingelheim Fonds PhD Fellowship, TopMath Graduate Program, Studienstiftung des deutschen Volkes
• Grants: Rudolf Mößbauer Tenure Track Fellowship (TUM-IAS), Dieter Schwarz Fellowship