Prof. Mendl studied physics and mathematics at TUM. After his PhD at the LMU Munich (2012), he worked as a postdoc together with Herbert Spohn on topics of statistical physics. A Feodor Lynen fellowship from the Humboldt Foundation led him to Stanford University in 2015, where he investigated models for high-temperature superconductors using quantum Monte Carlo methods. In 2017, he was appointed Junior Professor at TU Dresden and, in 2019, as a Rudolf Mößbauer Assistant Professor at TUM.
Selected Awards
2015-2017, Alexander von Humboldt Feodor Lynen fellowship
2005-2012, TopMath graduate program at TU München / Elitenetzwerk Bayern
2004-2008, Studienstiftung des deutschen Volkes
Research Interests
• quantum computing and information
• computational physics (in particular tensor network methods, quantum Monte Carlo, neural-network quantum states)
• statistical and non-equilibrium physics
• numerical simulation and visualization
• condensed matter physics
Selected Publications
• Huang EW, Mendl CB, Liu S, Johnston S, Jiang H-C, Moritz B, Devereaux TP: "Numerical evidence of fluctuating stripes in the normal state of high-Tc cuprate superconductors". Science 358, 1161-1164 (2017). science.sciencemag.org/content/358/6367/1161
Huang, Qunsheng; Mendl, Christian B.: Classical simulation of quantum circuits using a multiqubit Bloch vector representation of density matrices. Physical Review A 105 (2), 2022 mehr…BibTeX
Volltext (
DOI
)
2021
Huang, Qunsheng; Mendl, Christian B.: Efficient quantum circuit simulation using a multi-qubit Bloch vector representation of density matrices. arXiv, 2021 mehr…BibTeX
Volltext (
DOI
)
Sakhnenko, Alona; O'Meara, Corey; Ghosh, Kumar J. B.; Mendl, Christian B.; Cortiana, Giorgio; Bernabé-Moreno, Juan: Hybrid Classical-Quantum Autoencoder for Anomaly Detection. arXiv, 2021 mehr…BibTeX
Volltext (
DOI
)
2020
Mendl, Christian B.; Spohn, Herbert: High-low pressure domain wall for the classical Toda lattice. arXiv, 2020 mehr…BibTeX
Volltext (
DOI
)
2019
Gutiérrez, Irene López; Mendl, Christian B.: Real time evolution with neural-network quantum states. arXiv, 2019 mehr…BibTeX
Volltext (
DOI
)