Daoyi Dong,Ian R. Petersen
Learning and Robust Control in Quantum Technology
Learning and Robust Control in Quantum Technology
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- More about Learning and Robust Control in Quantum Technology
This monograph provides a comprehensive treatment of learning and robust control in quantum technology, covering topics such as sliding mode control, inhomogeneous quantum ensembles, robust and optimal control design, robust stability, and H∞ and fault-tolerant control. It is a valuable reference for researchers and graduates in systems and control theory, quantum control, and quantum engineering, particularly those with backgrounds in electrical engineering, applied mathematics, and quantum information.
Format: Hardback
Length: 252 pages
Publication date: 25 March 2023
Publisher: Springer International Publishing AG
This comprehensive monograph delves into the cutting-edge realm of learning and robust control in quantum technology, presenting a state-of-the-art treatment of these critical aspects. It undertakes a systematic exploration of control design and algorithm realization for a diverse range of quantum systems, employing control-theoretic tools and machine-learning methodologies. The authors employ a rich array of examples to illustrate their approaches, covering key topics such as sliding mode control, control and classification of inhomogeneous quantum ensembles, robust and optimal control design using machine-learning techniques, robust stability of quantum systems, and H∞ and fault-tolerant control of quantum systems.
Both theoretical algorithm design and potential practical applications are extensively considered, fostering a deep understanding of the field. Furthermore, methods for enhancing the robustness of performance are developed within the context of quantum state preparation, quantum gate construction, and ultrafast control of molecules. This book is a valuable resource for researchers and graduates specializing in systems and control theory, quantum control, and quantum engineering, particularly those with backgrounds in electrical engineering, applied mathematics, and quantum information. It will also appeal to chemists and physicists engaged in chemical physics, quantum optics, and quantum information technology, as it provides insights into the latest developments in learning and robust control of quantum systems.
Weight: 576g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031202445
Edition number: 1st ed. 2023
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