Learning And Robust Control In Quantum Technology
Download Learning And Robust Control In Quantum Technology PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learning And Robust Control In Quantum Technology book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
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 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.
Intelligent Computing and Networking
Author: Valentina Emilia Balas
language: en
Publisher: Springer Nature
Release Date: 2022-02-08
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 26–27, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in health ,care, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.
Fundamentals of Control Engineering
"Fundamentals of Control Engineering" explores the evolving landscape of control engineering, covering classical principles and advanced methodologies. Authored by experts, this book provides a comprehensive understanding of control systems' principles, applications, and challenges. It adopts a multifaceted approach, covering classical control theory, modern strategies, and specialized topics like quantum control, intelligent systems, and biomedical control. Each chapter balances theoretical principles with practical applications, making it suitable for students, researchers, and engineers. The inclusion of advanced topics, such as quantum control and intelligent systems, reflects emerging technologies reshaping the field. Practical examples and case studies showcase control engineering's relevance in various industries, while interdisciplinary perspectives emphasize integrating control principles with fields like AI, quantum mechanics, and healthcare. The book also addresses ethical considerations, reliability issues, and quantum coherence, providing a holistic view of the field's opportunities and hurdles. "Fundamentals of Control Engineering" is a valuable resource for understanding the multidisciplinary facets of control systems, ideal for students, researchers, and professionals.