World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6759
World Ranking
5868
National Ranking
311

Overview

Daoyi Dong is affiliated with the University of New South Wales in Australia. Their research spans multiple fields including Computer Science, Physics and Astronomy, and Engineering, with a particular emphasis on Artificial Intelligence and Quantum-related disciplines.

Their recent papers reflect active engagement with topics at the intersection of quantum technology, control, and machine learning. Notable publications include:

  • Microgrids: A review, outstanding issues and future trends (2023) published in Energy Strategy Reviews
  • Quantum reinforcement learning during human decision-making (2020) in Nature Human Behaviour
  • Deep Reinforcement Learning With Quantum-Inspired Experience Replay (2021) in IEEE Transactions on Cybernetics
  • Path Planning for Cellular-Connected UAV: A DRL Solution With Quantum-Inspired Experience Replay (2022) in IEEE Transactions on Wireless Communications
  • Quantum estimation, control and learning: Opportunities and challenges (2022) in Annual Reviews in Control

Daoyi Dong has published a book titled Learning and Robust Control in Quantum Technology (2023) under the Communications and Control Engineering series. This reflects an integration of control theory with quantum technology.

Their research topics cover a broad range of quantum science and engineering areas, including:

  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Quantum Mechanics and Applications
  • Smart Grid Energy Management
  • Laser-Matter Interactions and Applications
  • Spectroscopy and Quantum Chemical Studies
  • Neural Networks and Reservoir Computing

Frequent co-authors contributing substantially to Daoyi Dong's research include:

  • Ian R. Petersen
  • Huadong Mo
  • Hailan Ma
  • Chunlin Chen
  • Kathleen Kramer

Daoyi Dong's publications are frequently found in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • Automatica
  • Physical Review A

Their subfields of study emphasize both foundational and applied areas of quantum physics and artificial intelligence, including:

  • Artificial Intelligence
  • Atomic and Molecular Physics and Optics
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Statistical and Nonlinear Physics

Best Publications

  • Quantum control theory and applications: a survey

    Daoyi Dong;Ian R. Petersen

  • Quantum Reinforcement Learning

    Daoyi Dong;Chunlin Chen;Hanxiong Li;Tzyh-Jong Tarn

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

    Chunlin Chen;Daoyi Dong;Han-Xiong Li;Jian Chu

  • Quantum State Tomography via Linear Regression Estimation

    Bo Qi;Zhibo Hou;L i Li;Daoyi Dong

  • Sliding mode control of two-level quantum systems

    Daoyi Dong;Ian R. Petersen

  • Sampling-based learning control of inhomogeneous quantum ensembles

    Chunlin Chen;Chunlin Chen;Daoyi Dong;Ruixing Long;Ian R. Petersen

  • Sliding mode control of quantum systems

    Daoyi Dong;Ian R Petersen

  • Adaptive quantum state tomography via linear regression estimation: Theory and two-qubit experiment

    Bo Qi;Bo Qi;Zhibo Hou;Yuanlong Wang;Daoyi Dong

  • Learning robust and high-precision quantum controls

    Re-Bing Wu;Haijin Ding;Daoyi Dong;Xiaoting Wang

  • Optimal Lyapunov-based quantum control for quantum systems

    Shao-Chen Hou;M. A Khan;X. X. Yi;Daoyi Dong

  • Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning

    Zhipeng Ren;Daoyi Dong;Huaxiong Li;Chunlin Chen

  • Full reconstruction of a 14-qubit state within four hours

    Zhibo Hou;Han Sen Zhong;Ye Tian;Daoyi Dong

  • Recursively Adaptive Quantum State Tomography: Theory and Two-qubit Experiment

    Bo Qi;Zhibo Hou;Yuanlong Wang;Daoyi Dong

  • Quantum reinforcement learning during human decision-making

    Ji-An Li;Daoyi Dong;Zhengde Wei;Zhengde Wei;Ying Liu

  • Deep Reinforcement Learning With Quantum-Inspired Experience Replay.

    Qing Wei;Hailan Ma;Chunlin Chen;Daoyi Dong

  • Robust Quantum-Inspired Reinforcement Learning for Robot Navigation

    Daoyi Dong;Chunlin Chen;Jian Chu;Tzyh-Jong Tarn

  • Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay.

    Yuanjian Li;A. Hamid Aghvami;Daoyi Dong

  • Rapid Lyapunov control of finite-dimensional quantum systems

    Sen Kuang;Daoyi Dong;Ian R. Petersen

  • A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis

    Yuanlong Wang;Daoyi Dong;Bo Qi;Jun Zhang

  • Hybrid Control for Robot Navigation - A Hierarchical Q-Learning Algorithm

    Chunlin Chen;Han-Xiong Li;Daoyi Dong

  • Incoherent Control of Quantum Systems With Wavefunction-Controllable Subspaces via Quantum Reinforcement Learning

    Daoyi Dong;Chunlin Chen;Tzyh-Jong Tarn;A. Pechen

  • Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments

    Daoyi Dong;Xi Xing;Hailan Ma;Chunlin Chen

  • Robust manipulation of superconducting qubits in the presence of fluctuations

    Daoyi Dong;Chunlin Chen;Bo Qi;Ian R. Petersen

  • Quantum robot: structure, algorithms and applications

    Daoyi Dong;Chunlin Chen;Chenbin Zhang;Zonghai Chen

Frequent Co-Authors

Ian R. Petersen
Ian R. Petersen Australian National University
Herschel Rabitz
Herschel Rabitz Princeton University
Zonghai Chen
Zonghai Chen Argonne National Laboratory
Franco Nori
Franco Nori University of Michigan–Ann Arbor
Guang-Can Guo
Guang-Can Guo University of Science and Technology of China
Tzyh-Jong Tarn
Tzyh-Jong Tarn Washington University in St. Louis
Han-Xiong Li
Han-Xiong Li City University of Hong Kong
Wei Cui
Wei Cui Tsinghua University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology

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