Hamiltonian estimation for NV centers
Built a cost-function driven random-field estimation loop for NV-center Hamiltonians and compared strong/weak coupling regimes.
Research
Quantum many-body systems, sensing, and neutral-atom control, linking NV-center metrology, dipolar gases, and Rydberg platforms to practical calibration and control tooling.
Fit interacting systems and deliver control stacks across NV centers, dipolar gases, and neutral-atom arrays; focus on turning sensing traces and calibration data into reliable control and visualization.
Correlated-matter work at HKUST spans dipolar 168Er BEC experiments (APS DAMOP 2020), NV-center Hamiltonian estimation (Feb 2023–Jan 2024), and Strontium-88 Rydberg control middleware (Jun 2023–Jan 2024).
The throughline is fitting and controlling interacting systems: recovering hyperfine parameters for NV sensing, stabilizing dipolar gases, and delivering usable control layers for neutral-atom arrays and related hardware.
Built a cost-function driven random-field estimation loop for NV-center Hamiltonians and compared strong/weak coupling regimes.
Built control-layer software and simulations to support Strontium-88 Rydberg experiments.
Explored EDA workflows for transmon design and cross-talk-robust gates under Prof. Qiming Shao.
APS Division of Atomic, Molecular and Optical Physics Meeting