Learning and Robust Control in Quantum Technology (Communications and Control Engineering) Hardback - 2023
by Daoyi Dong; Ian R. Petersen
- New
- Hardback
A$372.25
A$5.87
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title Learning and Robust Control in Quantum Technology (Communications and Control Engineering)
- Author Daoyi Dong; Ian R. Petersen
- Binding Hardback
- Condition New
- Pages 252
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2023rd edition NO-PA16APR20
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # 6396282145
- ISBN 9783031202445 / 3031202449
- Weight 1.23 lbs (0.56 kg)
- Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
- Category Science
- Quantity available 4
About Cold Books New York, United States
Reader reviews for Learning and Robust Control in Quantum Technology (Communications and Control Engineering)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the rear cover
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.
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.