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Martin Kliesch Professor Hamburg University of Technology Previously: Quantum Technology Research Group Heinrich Heine University Düsseldorf

Contact: martin.kliesch@tuhh.de

About me

Currently:

• Building the new
  Institute for Quantum-Inspired and Quantum Optimization
  at the Hamburg University of Technology

• Research topics:

  • Characterization and verification of quantum systems
    (such as quantum computers or quantum simulators)

  • Hybrid classical/quantum computing, NISQ applications

  • Quantum gate synthesis and compiling

  • Classical simulation of open complex quantum systems

  • Combinatorial optimization (new topic)

  • Aspects of computational complexity

  • Methods: Convex and non-convex optimization, signal processing, compressed sensing, matrix and tensor reconstruction, probability theory, (matrix) concentration inequalities, tensor networks, machine learning, artificial neural networks, representation theory

• Teaching:

  • Quantum Computing

  • Characterization and verification of complex quantum systems

  • Machine learning in quantum physics

  • Statistical mechanics

  • Vorkus Mathematik

Previously:

• Junior professor and head of the HHU Quantum Technology Research Group,
  also funded within the Emmy Noether program

• Principal investigator: Polonez project Compressed sensing and quantum many-body physics
  KCIK, University of Gdańsk

• Postdoc with David Gross
  University of Cologne

• PhD

  • With Jens Eisert, Free University of Berlin

  • Thesis: Locality and complexity in simulations of complex quantum systems

  • Carl-Ramsauer prize

All publications

• on the arXiv and

• on google scholar