Research Focus

Focused on quantum sensing in complex environments, we develop high-performance, high-fidelity system-level simulation and analysis platforms powered by GPU-accelerated parallel computing.

By exploring structural parameters, control strategies, and operating conditions, we conduct large-scale parallel simulations, performance evaluations, and pulse and control optimization, providing quantitative guidance for device design and parameter tuning.

Integrating data-driven approaches, reinforcement learning, and intelligent optimization techniques, we aim to achieve robust suppression of noise and system errors under complex disturbances, advancing quantum sensors toward engineering implementation and autonomous operation.