Quantum Computing, Systems and Control


Daoyi Dong

Australian National University

Jr-Shin Li

Washington University
United States


The purpose of the TC can be divided into three parts: a) scientific, b) technological, and c)

  • a) TC and its activities will be focused on basic research on the emerging field of quantum computing, systems and control;
  • b) TC will support the transfer of discovered “know-how” in the area of quantum computing, quantum estimation and control theories to potential practical applications;
  • c) TC will support young scientists in the field of quantum computing, systems and control, and disseminate discovered “know-how” amongst scientific community.

Quantum technology is one of the most promising future technologies, and the development of quantum estimation and control theories can significantly enhance the application of quantum technologies. The aim is to build a community of experts in quantum computing, systems and

  • control, who are excellent scholars in academic organizations and industrial companies. This community will be devoted to the development of more progressive, efficient and practical methods, with expected impact on quantum technologies and their applications. This TC will provide a forum to exchange and promote state-of-the-art theories and methods in this fast moving and cross-disciplinary field. Topics include but not limited to:
  • Quantum computing algorithms
  • Quantum computing hardware
  • Modelling and analysis of quantum control systems
  • State estimation of quantum systems
  • Hamiltonian identification of quantum systems
  • Parameter identification of open quantum systems
  • Quantum detector identification
  • Quantum filtering and quantum smoothing
  • Linear quantum systems theory
  • Quantum optimal control
  • Quantum robust control
  • Quantum measurement-based feedback
  • Quantum coherent control and feedback
  • Reinforcement and other learning methods for control of quantum systems
  • Quantum sensing systems
  • Analysis, estimation and control of quantum ensembles
  • Analysis, estimation and control of quantum networks
  • Consensus and synchronization of quantum systems
  • Femtosecond and attosecond scale ultrafast quantum engineering
  • Control applications in molecular systems, quantum metrology and quantum information
  • Quantum machine learning and its applications to quantum and classical control
  • Novel estimation and control problems of classical systems inspired by quantum control