Hi, I'm Chen, an incoming PhD student in Computer Science and Engineering at The Chinese University of Hong Kong (CUHK).
I am passionate about advancing quantum computing through both theoretical research and experimental realization. My academic journey has equipped me with a strong foundation in physics and hands-on experience with a variety of quantum systems, including neutral atoms, trapped ions, and semiconductor qubits.
I also work with quantum circuits. At BAQIS, my research focuses on developing efficient quantum compilation strategies that help bridge the gap between hardware capabilities and practical, scalable quantum computing.
About Me
- Oct 1, 2025I received the Master's degree in Physics from Imperial College London with distinction! 🎓
- Sep 12, 2025My fifth patent was filed.
- Aug 28, 2025I received the Admission Letter from CUHK CSE! Next stop, Hong Kong! 🇭🇰
- Jun 18, 2025I completed my Master's thesis defense and got a high score of 85.15/100 for my research project!
Research
Quantum compilation with neutral atoms
In recent years, quantum computing has made significant progress in both hardware and software. However, executing quantum algorithms efficiently on physical systems still requires a crucial compilation step to translate logical quantum circuits into hardware-executable instructions — a field that remains in its early stages.
Charge noise in semiconductor qubits
Semiconductor qubits are a promising candidate for quantum computing, owing to their compatibility with existing semiconductor fabrication techniques, long coherence times, and scalability for large-scale integration. However, building a robust quantum computer with semiconductor spin qubits faces significant challenges, the most pressing being noise—particularly charge noise. To address this critical ssue, it is essential to first study and understand the underlying mechanisms of charge noise.
Automatic calibration for trapped-ion systems
Quantum operations with multiple trapped-ions rely on the collective vibrational modes of the ion chain, known as phonons. Critical parameters such as ion positions, phonon frequencies, and the strength of ion-phonon interactions are closely related to the structure of the ion trap chip, the surrounding environment, and the configuration of the trapping potential. To achieve high-performance trapped-ion quantum computing, precise calibration of system parameters is essential.