Quantum Control
Optimal and robust control of quantum systems: programmable quantum matter, high-fidelity gate sequences, scalable entanglement compilation, and reinforcement-learning-based scheduling for quantum processors and networks.

Ph.D. Researcher, MIT EECS · Quantum Photonics Group
Quantum computing, AI–hardware co-design, and experimental photonics.
Our paper Programmable Quantum Matter: Heralding Large Cluster States in Driven Inhomogeneous Spin Ensembles has been accepted in PRX Quantum. Read on arXiv
I will join IonQ as a summer intern, working on quantum error correction (QEC).
I am a PhD researcher in the Quantum Photonics group of Prof. Dirk R. Englund at the Massachusetts Institute of Technology.
My research focuses on quantum control protocols for efficient quantum computation. I also collaborate with Prof. Kaiming He on AI-based co-design of quantum hardware and quantum algorithms.
Explore my publications, projects, and notes to learn more about my work.
Optimal and robust control of quantum systems: programmable quantum matter, high-fidelity gate sequences, scalable entanglement compilation, and reinforcement-learning-based scheduling for quantum processors and networks.
Spin–photon and spin–optomechanical interfaces, microwave single-photon detection, quantum-dot and cavity QED systems, and experimental platforms for quantum communication and sensing.
AI-based co-design of quantum hardware and algorithms, physics-informed neural networks for PDE simulation, and learning-driven control for large-scale quantum systems.