Quantum Information Processing

Background

With the development of new quantum computing technologies it has become increasingly important to determine the information processing capabilities of quantum systems. A fundamental toolset in this area is that of quantum information theory. Not unlike classical information theory, it provides us with information measures that can help us to track the flow of information in quantum systems. In particular, with the always present noise in current systems, a focus is on the dercease in information during noisy operations. 

Goal
Approach
References
  • Conference Contributions
    • Christoph Hirche, Oxana Shaya
      Partial orders and contraction for BISO channels
      IEEE International Symposium on Information Theory, pp. 1-6, 2025
    • Christoph Hirche
      Quantum Doeblin coefficients: A simple upper bound on contraction coefficients
      IEEE International Symposium on Information Theory, pp. 557-562, 2024
  • Journals
    • Christoph Hirche, Marco Tomamichel
      Quantum Renyi and f-divergences from integral representations
      Commun. Math. Phys., Vol. 405, No. 208, 2024
    • Bodo Rosenhahn, Christoph Hirche
      Quantum Normalizing Flows for Anomaly Detection
      Physical Review A, American Physical Society, Vol. 110, No. 2, p. 022443, August 2024
    • Bodo Rosenhahn, Tobias Osborne
      Monte Carlo Graph Search for Quantum Circuit Optimization
      Physical Review A (Editors Suggestion), American Physical Society, Vol. 108, No. 6, p. 062615, December 2023