Closed-Loop and Robust Control of Quantum Systems
For most practical quantum control systems, it is important and difficult to attain robustness and reliability due to unavoidable uncertainties in the system dynamics or models. Three kinds of typical approaches (e.g., closed-loop learning control, feedback control, and robust control) have been pro...
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Hindawi Publishing Corporation
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749599/ |
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pubmed-37495992013-09-01 Closed-Loop and Robust Control of Quantum Systems Chen, Chunlin Wang, Lin-Cheng Wang, Yuanlong Review Article For most practical quantum control systems, it is important and difficult to attain robustness and reliability due to unavoidable uncertainties in the system dynamics or models. Three kinds of typical approaches (e.g., closed-loop learning control, feedback control, and robust control) have been proved to be effective to solve these problems. This work presents a self-contained survey on the closed-loop and robust control of quantum systems, as well as a brief introduction to a selection of basic theories and methods in this research area, to provide interested readers with a general idea for further studies. In the area of closed-loop learning control of quantum systems, we survey and introduce such learning control methods as gradient-based methods, genetic algorithms (GA), and reinforcement learning (RL) methods from a unified point of view of exploring the quantum control landscapes. For the feedback control approach, the paper surveys three control strategies including Lyapunov control, measurement-based control, and coherent-feedback control. Then such topics in the field of quantum robust control as H ∞ control, sliding mode control, quantum risk-sensitive control, and quantum ensemble control are reviewed. The paper concludes with a perspective of future research directions that are likely to attract more attention. Hindawi Publishing Corporation 2013-08-07 /pmc/articles/PMC3749599/ /pubmed/23997680 http://dx.doi.org/10.1155/2013/869285 Text en Copyright © 2013 Chunlin Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Chen, Chunlin Wang, Lin-Cheng Wang, Yuanlong |
| spellingShingle |
Chen, Chunlin Wang, Lin-Cheng Wang, Yuanlong Closed-Loop and Robust Control of Quantum Systems |
| author_facet |
Chen, Chunlin Wang, Lin-Cheng Wang, Yuanlong |
| author_sort |
Chen, Chunlin |
| title |
Closed-Loop and Robust Control of Quantum Systems |
| title_short |
Closed-Loop and Robust Control of Quantum Systems |
| title_full |
Closed-Loop and Robust Control of Quantum Systems |
| title_fullStr |
Closed-Loop and Robust Control of Quantum Systems |
| title_full_unstemmed |
Closed-Loop and Robust Control of Quantum Systems |
| title_sort |
closed-loop and robust control of quantum systems |
| description |
For most practical quantum control systems, it is important and difficult to attain robustness and reliability due to unavoidable uncertainties in the system dynamics or models. Three kinds of typical approaches (e.g., closed-loop learning control, feedback control, and robust control) have been proved to be effective to solve these problems. This work presents a self-contained survey on the closed-loop and robust control of quantum systems, as well as a brief introduction to a selection of basic theories and methods in this research area, to provide interested readers with a general idea for further studies. In the area of closed-loop learning control of quantum systems, we survey and introduce such learning control methods as gradient-based methods, genetic algorithms (GA), and reinforcement learning (RL) methods from a unified point of view of exploring the quantum control landscapes. For the feedback control approach, the paper surveys three control strategies including Lyapunov control, measurement-based control, and coherent-feedback control. Then such topics in the field of quantum robust control as H
∞ control, sliding mode control, quantum risk-sensitive control, and quantum ensemble control are reviewed. The paper concludes with a perspective of future research directions that are likely to attract more attention. |
| publisher |
Hindawi Publishing Corporation |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749599/ |
| _version_ |
1612004853947564032 |