國立高雄大學圖資館 |

登入

回首頁

Learning and robust control in quantum technology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning and robust control in quantum technologyby Daoyi Dong, Ian R. Petersen.
作者:	Dong, Daoyi.
其他作者:	Petersen, Ian R.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xvii, 252 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Automatic controlData processing.
電子資源:	https://doi.org/10.1007/978-3-031-20245-2
ISBN:	9783031202452$q(electronic bk.)

Learning and robust control in quantum technology
Dong, Daoyi.

Learning and robust control in quantum technology[electronic resource] /by Daoyi Dong, Ian R. Petersen. - Cham :Springer International Publishing :2023. - xvii, 252 p. :ill. (chiefly col.), digital ;24 cm. - Communications and control engineering,2197-7119. - Communications and control engineering..

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.

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 approaches rely heavily on examples and the authors cover: sliding mode control of quantum systems; control and classification of inhomogeneous quantum ensembles using sampling-based learning control; robust and optimal control design using machine-learning methods; robust stability of quantum systems; and H∞ and fault-tolerant control of quantum systems. Both theoretical algorithm design and potential practical applications are considered. Methods for enhancing robustness of performance are developed in the context of quantum state preparation, quantum gate construction, and ultrafast control of molecules. Researchers and graduates studying systems and control theory, quantum control, and quantum engineering, especially from backgrounds in electrical engineering, applied mathematics and quantum information will find Learning and Robust Control in Quantum Technology to be a valuable reference for the investigation of learning and robust control of quantum systems. The material contained in this book will also interest chemists and physicists working on chemical physics, quantum optics, and quantum information technology.

ISBN: 9783031202452$q(electronic bk.)

Standard No.: 10.1007/978-3-031-20245-2doiSubjects--Topical Terms:

184426
Automatic control
--Data processing.

LC Class. No.: TJ213

Dewey Class. No.: 629.8028563843

Learning and robust control in quantum technology
LDR:03013nmm a2200337 a 4500 001 643001
003 DE-He213
005 20230324170302.0
006 m d
007 cr nn 008maaau
008 231123s2023 sz s 0 eng d
020 $a 9783031202452$q(electronic bk.)
020 $a 9783031202445$q(paper)
024 7 $a 10.1007/978-3-031-20245-2 $2 doi
035 $a 978-3-031-20245-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ213
072 7 $a GPFC $2 bicssc
072 7 $a SCI064000 $2 bisacsh
072 7 $a GPFC $2 thema
082 0 4 $a 629.8028563843 $2 23
090 $a TJ213 $b .D682 2023
100 1 $a Dong, Daoyi. $3 950506
245 1 0 $a Learning and robust control in quantum technology $h [electronic resource] / $c by Daoyi Dong, Ian R. Petersen.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xvii, 252 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Communications and control engineering, $x 2197-7119
505 0 $a 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.
520 $a 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 approaches rely heavily on examples and the authors cover: sliding mode control of quantum systems; control and classification of inhomogeneous quantum ensembles using sampling-based learning control; robust and optimal control design using machine-learning methods; robust stability of quantum systems; and H∞ and fault-tolerant control of quantum systems. Both theoretical algorithm design and potential practical applications are considered. Methods for enhancing robustness of performance are developed in the context of quantum state preparation, quantum gate construction, and ultrafast control of molecules. Researchers and graduates studying systems and control theory, quantum control, and quantum engineering, especially from backgrounds in electrical engineering, applied mathematics and quantum information will find Learning and Robust Control in Quantum Technology to be a valuable reference for the investigation of learning and robust control of quantum systems. The material contained in this book will also interest chemists and physicists working on chemical physics, quantum optics, and quantum information technology.
650 0 $a Automatic control $x Data processing. $3 184426
650 0 $a Machine learning. $3 188639
650 0 $a Quantum computers. $3 224163
650 1 4 $a Systems Theory, Control. $3 274654
650 2 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Quantum Information. $3 915068
650 2 4 $a Atomic, Molecular and Chemical Physics. $3 913484
650 2 4 $a Quantum Optics. $3 376759
650 2 4 $a Quantum Fluids and Solids. $3 915063
700 1 $a Petersen, Ian R. $3 950507
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications and control engineering. $3 558655
856 4 0 $u https://doi.org/10.1007/978-3-031-20245-2
950 $a Engineering (SpringerNature-11647)