Hong-Ye Hu

I am currently a research fellow at the Harvard Quantum Initiative (HQI), specializing in quantum information theory and machine learning. I work closely with experimentalists across a variety of quantum platforms—including neutral atom tweezer arrays, optical lattices, and superconducting qubits.

My interests lie in both near-term and fault-tolerant applications of programmable quantum systems including:

1. Analog and digital quantum simulation.
2. Quantum statistical learning (Hamiltonian learning, device benchmarking).
3. Quantum optimal control for efficient gate design.
4. Machine learning for quantum information science.

“To learn, read. To know, write, To master, teach” — Hindu proverb