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:
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: | 9783031202476 |
Publication date: | 26th March 2024 |
Author: | Daoyi Dong, Ian R Petersen |
Publisher: | Springer an imprint of Springer International Publishing |
Format: | Paperback |
Pagination: | 252 pages |
Series: | Communications and Control Engineering |
Genres: |
Cybernetics and systems theory Automatic control engineering Optical physics Atomic and molecular physics Quantum physics (quantum mechanics and quantum field theory) |