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Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems

Author
CHUNLIN CHEN1 2 ; DAOYI DONG3 4 ; LI, Han-Xiong5 ; JIAN CHU6 ; TARN, Tzyh-Jong7
[1] Department of Control and System Engineering, Nanjing University, Nanjing 210093, China
[2] Department of Chemistry, Princeton University, Princeton, NJ 08544, United States
[3] School of Engineering and Information Technology, University of New South Wales, Australian Defence Force Academy, Canberra 2600, Australia
[4] Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
[5] Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong-Kong
[6] Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
[7] Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, United States
Source

IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 5, pp 920-933, 14 p ; ref : 55 ref

ISSN
2162-237X
Scientific domain
Cognition; Electronics; Computer science; Psychology, psychopathology, psychiatry
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Fidelity probabilistic Q-learning quantum control reinforcement learning
Keyword (fr)
Apprentissage probabilités Apprentissage renforcé Approche probabiliste Calcul quantique Commande intelligente Contrôle quantique Fidélité Modélisation Politique optimale Système spin Utilité attendue
Keyword (en)
Probability learning Reinforcement learning Probabilistic approach Quantum computation Intelligent control Quantum control Fidelity Modeling Optimal policy Spin system Expected utility
Keyword (es)
Aprendizaje probabilidades Aprendizaje reforzado Enfoque probabilista Calculo cuántico Control inteligente Fidelidad Modelización Política óptima Sistema spin Utilidad espera
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00C Classical and quantum physics: mechanics and fields / 001B00C67 Quantum information / 001B00C67L Quantum computation

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D04 Adaptative systems

Discipline
Computer science : theoretical automation and systems Theoretical physics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28604015

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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