Automating variational quantum sensing through reinforcement-learned circuit structures
arXiv:2608.17582 (2026)
Associate Professor of Physics · CityUHK
Xin (Sunny)
Wang 王欣
Quantum theory.
Precise control.
I study how quantum systems behave—and how to control them. Our group connects robust control, physics-informed learning and many-body theory.
Quantum Theory GroupHong Kong
Research focus
From physical insight
to quantum control.
Robust quantum control
Designing gates that work with imperfect devices.
Physics-informed quantum learning
Connecting physical models with machine learning.
Quantum devices & many-body physics
Understanding the systems beneath the algorithms.
Selected work · 2025–2026
Ideas in progress.
Accelerating noisy variational quantum algorithms with physics-informed denoising networks
arXiv:2605.02066 (2026)
Jenga-Krotov algorithm: Efficient compilation of multi-qubit gates for exchange-only qubits
Phys. Rev. Research 7, 043161 (2025)
Hamiltonian learning via inverse physics-informed neural networks
Phys. Rev. Research 7, 043137 (2025)
Preprints describe research in progress and are listed separately from published articles.