By Professor Daoyi Dong

Preprints

Xiao S; Wang X; Wang Y; Hou Z; Zhang J; Petersen IR; Yan W-Z; Yonezawa H; Nori F; Xiang G-Y; Dong D, 2026, Unified formalism and adaptive algorithms for optimal quantum state, detector and process tomography, http://dx.doi.org/10.48550/arxiv.2509.05988

Liu J; Li H; Sun Z; Chen C; Bian Y; Wang B; Dong D; Chen C; Wang Z, 2026, Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation, http://dx.doi.org/10.48550/arxiv.2601.12401

Li B; Sun Z; Bian J; Wu Y; Wang Y; Li H; Bian Y; Mo H; Dong D, 2026, StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics, http://dx.doi.org/10.48550/arxiv.2604.03315

Chen Y; Yan K; Pan Y; Dong D, 2025, QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis, http://dx.doi.org/10.48550/arxiv.2510.27091

Yokoyama S; Laverick KT; McManus D; Yu Q; Chantasri A; Asavanant W; Dong D; Wiseman HM; Yonezawa H, 2025, Tracking Quantum Dynamics in an Optical Cavity for Recovering Purity and Squeezing via Quantum State Smoothing, http://dx.doi.org/10.48550/arxiv.2509.04754

Fu H; Dong H; Xu W; Zhou Z; Deng G; Tang K; Dong D; Chen C, 2025, Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots, http://dx.doi.org/10.48550/arxiv.2505.09979

Ma H; Dong D; Petersen IR; Huang C-J; Xiang G-Y, 2025, Neural networks for quantum state tomography with constrained measurements, http://dx.doi.org/10.48550/arxiv.2111.09504

Ma H; Mooney GJ; Petersen IR; Hollenberg LCL; Dong D, 2025, Quantum autoencoders using mixed reference states, http://dx.doi.org/10.48550/arxiv.2309.15582

Ma H; Sun Z; Dong D; Chen C; Rabitz H, 2025, Tomography of Quantum States from Structured Measurements via quantum-aware transformer, http://dx.doi.org/10.48550/arxiv.2305.05433

Ma H; Qi B; Petersen IR; Wu R-B; Rabitz H; Dong D, 2025, Machine Learning for Estimation and Control of Quantum Systems, http://dx.doi.org/10.48550/arxiv.2503.03164

Zhang B; Li Z; Wang Z; Yu Y; Tan HH; Jagadish C; Dong D; Fu L, 2025, Physics-Aware Inverse Design for Nanowire Single-Photon Avalanche Detectors via Deep Learning, http://dx.doi.org/10.48550/arxiv.2502.18857

Song C; Liu Y; Zhang G; Mo H; Dong D, 2025, Learning-Based Design of LQG Controllers in Quantum Coherent Feedback, http://dx.doi.org/10.48550/arxiv.2502.08170

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2025, Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context, http://dx.doi.org/10.48550/arxiv.2404.13391

Xiao S; Liang W; Wang Y; Dong D; Petersen IR; Ugrinovskii V, 2025, Simultaneous estimations of quantum state and detector through multiple quantum processes, http://dx.doi.org/10.48550/arxiv.2502.11772

Hong Q-Q; Dong D; Henriksen NE; Nori F; He J; Shu C-C, 2025, Precise Quantum Control of Molecular Rotation Toward a Desired Orientation, http://dx.doi.org/10.48550/arxiv.2502.10196

Song C; Liu Y; Dong D; Yonezawa H, 2025, Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control, http://dx.doi.org/10.48550/arxiv.2408.11328

Wang Y; Qi B; Ferrie C; Dong D, 2024, Trainability Enhancement of Parameterized Quantum Circuits via Reduced-Domain Parameter Initialization, http://dx.doi.org/10.48550/arxiv.2302.06858

Wang Y; Wang X; Qi B; Dong D, 2024, Supervised Learning Guarantee for Quantum AdaBoost, http://dx.doi.org/10.48550/arxiv.2402.02376

Selim A; Mo H; Pota H; Dong D, 2024, Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing, http://dx.doi.org/10.48550/arxiv.2408.09989

Liu Y-H; Zeng Y; Tan Q-S; Dong D; Nori F; Liao J-Q, 2024, Optimal control of linear Gaussian quantum systems via quantum learning control, http://dx.doi.org/10.48550/arxiv.2406.05597

Bao L; Qi B; Nori F; Dong D, 2024, Exponential sensitivity revival of noisy non-Hermitian quantum sensing with two-photon drives, http://dx.doi.org/10.48550/arxiv.2303.16575

Wang X; Qi B; Wang Y; Dong D, 2024, EHA: Entanglement-variational Hardware-efficient Ansatz for Eigensolvers, http://dx.doi.org/10.48550/arxiv.2311.01120

Liu Y; Dong D; Petersen IR; Yonezaw H, 2023, Fault-tolerant $H^\infty$ control for optical parametric oscillators with pumping fluctuations, http://dx.doi.org/10.48550/arxiv.2307.14583

Liu Y; Dong D; Kuang S; Petersen IR; Yonezawa H, 2023, Two-step feedback preparation of entanglement for qubit systems with time delay, http://dx.doi.org/10.48550/arxiv.2307.14599

Liu J; Wang Z; Chen C; Dong D, 2023, Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2204.07729

Cho B; Xiao Y; Hui P; Dong D, 2023, Quantum bandit with amplitude amplification exploration in an adversarial environment, http://dx.doi.org/10.48550/arxiv.2208.07144

Shindi O; Yu Q; Girdhar P; Dong D, 2023, Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2302.02371

Xie D; Wang Z; Chen C; Dong D, 2023, Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation, http://dx.doi.org/10.48550/arxiv.2203.02896

Fan L-B; Shu C-C; Dong D; He J; Henriksen NE; Nori F, 2022, Quantum Coherent Control of a Single Molecular-Polariton Rotation, http://dx.doi.org/10.48550/arxiv.2212.11649

Chen Y; Pan Y; Dong D, 2022, Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations, http://dx.doi.org/10.48550/arxiv.2108.08659

Jiang C; Pan Y; Wu Z-G; Gao Q; Dong D, 2022, Robust optimization for quantum reinforcement learning control using partial observations, http://dx.doi.org/10.48550/arxiv.2206.14420

Ma H; Huang C-J; Chen C; Dong D; Wang Y; Wu R-B; Xiang G-Y, 2022, On compression rate of quantum autoencoders: Control design, numerical and experimental realization, http://dx.doi.org/10.48550/arxiv.2005.11149

Wang Z; Chen C; Dong D, 2022, A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2205.10787

Wang Z; Chen C; Dong D, 2022, Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments, http://dx.doi.org/10.48550/arxiv.2010.04605

Dong D; Petersen IR, 2022, Quantum estimation, control and learning: opportunities and challenges, http://dx.doi.org/10.48550/arxiv.2201.05835

Bao L; Qi B; Dong D, 2021, Exponentially-enhanced Quantum Non-Hermitian Sensing via Optimized Coherent Drive, http://dx.doi.org/10.48550/arxiv.2109.04040

Chen Y; Pan Y; Dong D, 2021, Quantum Language Model with Entanglement Embedding for Question Answering, http://dx.doi.org/10.48550/arxiv.2008.09943

Li Y; Aghvami AH; Dong D, 2021, Path Planning for Cellular-Connected UAV: A DRL Solution with Quantum-Inspired Experience Replay, http://dx.doi.org/10.48550/arxiv.2108.13184

Wang Y; Yokoyama S; Dong D; Petersen IR; Huntington EH; Yonezawa H, 2021, Two-stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results, http://dx.doi.org/10.48550/arxiv.1905.05323

Bao L; Qi B; Dong D; Nori F, 2021, Fundamental limits for reciprocal and non-reciprocal non-Hermitian quantum sensing, http://dx.doi.org/10.48550/arxiv.2104.10822

Zhu Y; Wang Z; Chen C; Dong D, 2021, Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction, http://dx.doi.org/10.48550/arxiv.2104.07282

Li Y; Aghvami AH; Dong D, 2021, Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective, http://dx.doi.org/10.48550/arxiv.2007.13418

Wang Z; Chen C; Dong D, 2021, Lifelong Incremental Reinforcement Learning with Online Bayesian Inference, http://dx.doi.org/10.48550/arxiv.2007.14196

Dong D, 2021, Learning Control of Quantum Systems, http://dx.doi.org/10.48550/arxiv.2101.07461

Ma H; Dong D; Ding SX; Chen C, 2021, Curriculum-based Deep Reinforcement Learning for Quantum Control, http://dx.doi.org/10.48550/arxiv.2012.15427

Dong D; Xing X; Ma H; Chen C; Liu Z; Rabitz H, 2020, Learning-based Quantum Robust Control: Algorithm, Applications and Experiments, http://dx.doi.org/10.48550/arxiv.1702.03946

Dong D; Shu C-C; Chen J; Xing X; Ma H; Guo Y; Rabitz H, 2020, Learning control of quantum systems using frequency-domain optimization algorithms, http://dx.doi.org/10.48550/arxiv.2005.13080

Yu Q; Wang Y; Dong D; Petersen IR; Xiang G-Y, 2020, Generation of accessible sets in the dynamical modelling of quantum network systems, http://dx.doi.org/10.48550/arxiv.2004.14663

Yu Q; Dong D; Petersen IR, 2020, Hybrid filtering for a class of nonlinear quantum systems subject to classical stochastic disturbances, http://dx.doi.org/10.48550/arxiv.2004.07050

Huang C-J; Ma H; Yin Q; Tang J-F; Dong D; Chen C; Xiang G-Y; Li C-F; Guo G-C, 2020, Realization of a quantum autoencoder for lossless compression of quantum data, http://dx.doi.org/10.48550/arxiv.1903.08699

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