Publications
Publications grouped by year. Each entry includes the title, authors, venue, and a link.
For a complete and continuously updated list, please also see Google Scholar.
2025
-
Machine Learning for Estimation and Control of Quantum Systems JournalThis paper addresses the lack of a unified account of machine learning for quantum estimation and control, and highlights the field's broader scientific and technological impact.
-
Bounding fidelity in quantum feedback control: theory and applications to Dicke state preparation JournalIt fills a theory-practice gap in quantum feedback control by deriving fidelity bounds with direct relevance to Dicke-state preparation.
-
Tomography of Quantum States from Structured Measurements via quantum-aware transformer JournalThe paper bridges modern transformer models with structured quantum measurements, improving reconstruction quality under limited sensing resources.
-
Learning Informative Latent Representation for Quantum State Tomography JournalIt addresses the need for compact but physically informative representations, improving scalability for quantum-state reconstruction.
-
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control JournalThis work tackles sparse guidance in reinforcement learning for quantum control and shows the value of auxiliary tasks for better training efficiency.
-
Control-Enhanced Quantum Metrology Guided by Pontryagin's Minimum Principle ConferenceIt responds to the challenge of combining optimal control with quantum metrology and shows how principled control can enhance sensing performance.
2024
-
Quantum autoencoders using mixed reference states JournalThe paper closes a realism gap in quantum autoencoding by extending the method to mixed reference states relevant to practical settings.
-
Neural networks for quantum state tomography with constrained measurements JournalIt addresses limited-measurement tomography and demonstrates that neural models can recover states more effectively under realistic constraints.
-
EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance ConferenceThis paper addresses weak entity control in image generation and improves generation quality through explicit entity-guided prior learning.
2023
-
On compression rate of quantum autoencoders: Control design, numerical and experimental realization JournalIt fills a gap between theory and experiment in quantum compression by combining control design, numerical study, and experimental realization.
-
Curriculum-based deep reinforcement learning for quantum control JournalThe work addresses unstable training in hard quantum-control tasks and shows that curriculum learning can substantially improve robustness and performance.
-
Two-step robust control design of quantum gates via differential evolution JournalThis paper addresses robustness challenges in gate control and improves design quality through a tailored two-step evolutionary framework.
-
Tomography of quantum detectors using neural networks ConferenceIt addresses data limitations in detector characterization and demonstrates neural-network-based recovery for quantum detector tomography.
-
Guided Reward Design in Continuous Reinforcement Learning for Quantum Control ConferenceThe paper responds to poorly shaped reward signals in continuous control and improves quantum-control learning through guided reward design.
2022
-
Deep reinforcement learning with quantum-inspired experience replay JournalIt addresses sample inefficiency in reinforcement learning and introduces quantum-inspired replay mechanisms to improve control performance.
2021
-
Learning control of quantum systems using frequency-domain optimization algorithms JournalThis work addresses optimization difficulty in quantum learning control and demonstrates the value of frequency-domain search strategies.
-
On how neural networks enhance quantum state tomography with limited resources ConferenceIt tackles resource scarcity in tomography and shows how neural-network priors can improve state recovery with fewer measurements.
-
A Guided Differential Evolution Algorithm for Control Design of Quantum Gates ConferenceThe paper addresses local-search limitations in quantum-gate design and improves optimization through guided differential evolution.
2020
-
Realization of a quantum autoencoder for lossless compression of quantum data JournalIt helps close the implementation gap in quantum compression by demonstrating an experimental realization of quantum autoencoding.
-
Learning-based quantum robust control: algorithm, applications, and experiments JournalThis paper addresses robustness challenges in quantum control and validates learning-based solutions across algorithms, applications, and experiments.
-
Several developments in learning control of quantum systems ConferenceIt surveys and extends key developments in learning control, helping frame emerging directions for quantum-system optimization.
2017
-
Quantum learning control using differential evolution with equally-mixed strategies JournalThe work addresses optimization instability in quantum learning control and proposes mixed differential-evolution strategies for better robustness.
2015
-
Differential evolution with equally mixed strategies for robust control of open quantum systems ConferenceIt addresses robust control design for open quantum systems and shows the benefit of equally mixed evolutionary strategies.
-
Ensemble control of open quantum systems using differential evolution ConferenceThis paper addresses ensemble control under uncertainty and demonstrates differential evolution as a practical design tool for open quantum systems.