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Learning and Robust Control in Quantum Technology

This monograph provides a state-of-the-art treatment of learning and robust control in quantum technology. It presents a systematic investigation of control design and algorithm realisation for several classes of quantum systems using control-theoretic tools and machine-learning methods. The approac...

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Détails bibliographiques
Auteurs principaux: Dong, Daoyi (Auteur), Petersen, Ian R. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer International Publishing : Imprint: Springer, 2023.
Édition:1st ed. 2023.
Collection:Communications and Control Engineering,
Sujets:
System theory.
Control theory.
Control engineering.
Quantum computing.
Atoms.
Molecules.
Quantum optics.
Quantum statistics.
Systems Theory, Control.
Control and Systems Theory.
Quantum Information.
Atomic, Molecular and Chemical Physics.
Quantum Optics.
Quantum Fluids and Solids.
Accès en ligne:https://doi.org/10.1007/978-3-031-20245-2
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Table des matières:
  • Chapter 1. Introduction
  • Chapter 2. Introduction to quantum mechanics and quantum control
  • Chapter 3. Control and classification of inhomogeneous quantum ensembles
  • Chapter 4. Sampling-based learning control of quantum systems with uncertainties
  • Chapter 5. Machine learning for quantum control
  • Chapter 6. Sliding mode control
  • Chapter 7. Robust stability and performance analysis of quantum systems
  • Chapter 8. H¥ control and fault-tolerant control of quantum systems
  • Chapter 9.Concluding remarks
  • Index.

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