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Institut für Mathematik

Oberseminar Wissenschaftliches Rechnen (Prof. Guofeng Zhang)

Linear quantum systems and their applications in experimental quantum physics
Datum: 25.06.2026, 10:00 - 11:30 Uhr
Kategorie: Veranstaltung
Ort: Hubland Nord, Geb. 30, 30.02.003
Veranstalter: Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Vortragende: Prof. Guofeng Zhang

Abstract:

In this talk, we discuss quantum linear systems from a control-theoretic point of view. We present the Kalman canonical form for quantum linear systems. As an application, we show how it can be used to study decoherence-free (DF) modes, quantum non-demolition (QND) variables, and back-action evading (BAE) measurements in quantum information science. The proposed theory will be demonstrated by several experiments from quantum optics and opto-mechanical systems, including:

  1. Optomechanical dark mode, Dong et al., Science, 338:609–1613, 2012.
  2. Quantum backaction evading measurement of collective mechanical modes, Ockeloen-Korppi, et al., Physical Review Letters, 117:140401, 2016.
  3. Light-mediated strong coupling between a mechanical oscillator and atomic spins 1 meter apart, Karg, et al., Science 369:174–179, 2020.
  4. Quantum mechanics–free subsystem with mechanical oscillators, de Lepinay, et al., Science 372:625–629, 2021.

Bio:
Guofeng Zhang received the Ph.D. degree in applied mathematics from the University of Alberta, Edmonton, AB, Canada, in 2005. He joined the University of Electronic Science and Technology of China, Chengdu, China, in 2007. He joined the Hong Kong Polytechnic University, Hong Kong, in December 2011, and is currently a professor. He is an Associate Editor of IET Control Theory and Applications, Journal of Control and Decision, Guest Associate Editor of International Journal of Bifurcation and Chaos, and the Manage Guest Editor for the Special Issue on Quantum Control and Quantum Machine Learning for Journal of The Franklin Institute. He was the General Chair of 2025 IEEE International Conference on Quantum Control, Computing and Learning (IEEE qCCL2025), June 25 – 28, 2025, Hong Kong. His research interests include quantum control and tensor-based quantum computing.

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