A tutorial on optimal control and reinforcement learning methods for quantum technologies

被引:0
|
作者
Giannelli, Luigi [1 ,2 ]
Sgroi, Sofia [4 ]
Brown, Jonathon [4 ]
Paraoanu, Gheorghe Sorin [5 ]
Paternostro, Mauro [4 ]
Paladino, Elisabetta [1 ,2 ,3 ]
Falci, Giuseppe [1 ,2 ,3 ]
机构
[1] Dipartimento di Fisica e Astronomia Ettore Majorana, Università di Catania, Via S. Sofia 64, Catania,95123, Italy
[2] CNR-IMM, UoS Università, Catania,95123, Italy
[3] INFN, Sez. Catania, Catania,95123, Italy
[4] Centre for Theoretical Atomic, Molecular, and Optical Physics, School of Mathematics and Physics, Queens University, Belfast,BT7 1NN, United Kingdom
[5] QTF Centre of Excellence, Department of Applied Physics, Aalto University School of Science, P.O. Box 15100, AALTO,FI-00076, Finland
来源
Physics Letters, Section A: General, Atomic and Solid State Physics | 2022年 / 434卷
关键词
103;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Deep reinforcement learning for quantum gate control
    An, Zheng
    Zhou, D. L.
    EPL, 2019, 126 (06)
  • [22] Deep Reinforcement Learning Control of Quantum Cartpoles
    Wang, Zhikang T.
    Ashida, Yuto
    Ueda, Masahito
    PHYSICAL REVIEW LETTERS, 2020, 125 (10)
  • [23] Reinforcement Learning in Different Phases of Quantum Control
    Bukov, Marin
    Day, Alexandre G. R.
    Sels, Dries
    Weinberg, Phillip
    Polkovnikov, Anatoli
    Mehta, Pankaj
    PHYSICAL REVIEW X, 2018, 8 (03):
  • [24] Comparing quantum hybrid reinforcement learning to classical methods
    Maximilian Moll
    Leonhard Kunczik
    Human-Intelligent Systems Integration, 2021, 3 (1) : 15 - 23
  • [25] A shortcut tour of quantum control methods for modern quantum technologies
    Stefanatos, D.
    Paspalakis, E.
    EPL, 2020, 132 (06)
  • [26] Wind farm control technologies: from classical control to reinforcement learning
    Dong, Hongyang
    Xie, Jingjie
    Zhao, Xiaowei
    PROGRESS IN ENERGY, 2022, 4 (03):
  • [27] A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
    Morales, Eduardo F.
    Murrieta-Cid, Rafael
    Becerra, Israel
    Esquivel-Basaldua, Marco A.
    INTELLIGENT SERVICE ROBOTICS, 2021, 14 (05) : 773 - 805
  • [28] A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
    Eduardo F. Morales
    Rafael Murrieta-Cid
    Israel Becerra
    Marco A. Esquivel-Basaldua
    Intelligent Service Robotics, 2021, 14 : 773 - 805
  • [29] Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers
    Lewis, Frank L.
    Vrabie, Draguna
    Vamvoudakis, Kyriakos G.
    IEEE Control Systems, 2012, 32 (06) : 76 - 105
  • [30] Reinforcement Learning and Feedback Control USING NATURAL DECISION METHODS TO DESIGN OPTIMAL ADAPTIVE CONTROLLERS
    Lewis, Frank L.
    Vrabie, Draguna
    Vamvoudakis, Kyriakos G.
    IEEE CONTROL SYSTEMS MAGAZINE, 2012, 32 (06): : 76 - 105