Swiss-Danish Matchmaking on Quantum

27 Jan – 26 Jun 2025

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Titus Neupert

Professor in Theoretical Physics

University of Zurich

Zurich, Switzerland

I am interested in quantum matter, in particular in topology and superconductivity, computer simulations of quantum many-body systems.

My organisation

University of Zurich

University of Zurich

Academic

Zurich, Switzerland

At the University of Zurich, we pride ourselves on being one of the leading research and teaching institutions in Switzerland and beyond. With a rich history dating back to 1833, we offer a diverse range of programs across various disciplines, from humanities to natural sciences and medicine. Our commitment to innovation and interdisciplinary collaboration drives us to produce cutting-edge research and foster an environment where students and faculty alike can thrive. We are dedicated to shaping the future by empowering the next generation of thinkers, leaders, and pioneers in their respective fields.
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About me

Titus Neupert is a member of the board of the Digital Society Initiative (DSI) and Professor of Condensed Matter Theory at the Faculty of Science of the University of Zurich.

Titus Neupert studied physics at the Technical University of Dresden and the University of Zurich. He then completed his PhD at ETH Zurich and the Paul Scherrer Institute before becoming a postdoctoral fellow at the Center for Theoretical Science at Princeton University. In 2016, he was appointed to the University of Zurich and has since built up the research group for condensed matter theory – first as assistant professor and since 2019 as associate professor.

The research focuses on quantum materials with so-called topological properties, which will serve as hardware foundations for the electronics of the future as well as for quantum computers. To this end, Neupert studies exotic semiconductors and magnets as well as new superconducting materials and works closely with experimental researchers. Methodologically, the group relies on both "pen and paper" and extensive numerical simulations. In the latter, machine learning methods are increasingly used. The work is partly funded by an ERC Starting Grant and was recognized with the Klung-Wilhelmy Science Award in 2019.

Interests

  • quantum many body systems
  • fractional quantum hall states
  • topological states of matter