书目名称 | Learning and Robust Control in Quantum Technology |
编辑 | Daoyi Dong,Ian R. Petersen |
视频video | |
概述 | Provides systematic approach to control design and algorithms for quantum systems.Includes many recent results and ideas for practical applications.First monograph to present systematic introduction t |
丛书名称 | Communications and Control Engineering |
图书封面 |  |
描述 | 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 refer |
出版日期 | Book 2023 |
关键词 | Quantum Control; Quantum Technology; Quantum Robust Control; Learning Control; Quantum Systems; Sliding-m |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-20245-2 |
isbn_softcover | 978-3-031-20247-6 |
isbn_ebook | 978-3-031-20245-2Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
issn_series | 0178-5354 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |