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Learning Control of Quantum Systems

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Encyclopedia of Systems and Control

Abstract

This chapter presents a brief introduction to learning control of quantum systems. Gradient-based learning methods, evolutionary computation algorithms, and reinforcement learning approaches are outlined for searching optimal or robust fields in quantum control problems. The state-of-the-art methods and future directions in learning control of quantum systems are discussed.

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Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia

    Daoyi Dong

Authors
  1. Daoyi Dong
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Corresponding author

Correspondence to Daoyi Dong .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Research School of Electrical, Energy and Materials Engineering, Australian National University, Canberra, ACT, Australia

    Ian R. Petersen

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Dong, D. (2020). Learning Control of Quantum Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100161-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100161-1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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