Research

Research Topics

• Quantum Simulation: Analog and digital simulation of many-body quantum systems using programmable quantum platforms such as neutral atom arrays, optical lattices, and superconducting circuits.
• Quantum Statistical Learning: Scalable methods for Hamiltonian learning, device characterization, randomized benchmarking, and quantum state tomography.
• Quantum Optimal Control: Design and implementation of optimal pulse sequences for high-fidelity gate operations.

Highlights

Quantum State Learning and Shallow Shadow Tomography H.-Y. Hu, A. Gu, S. Majumder, et al. We investigate the impact of noise in shallow shadow protocols and introduce a noise-robust shallow shadow approach powered by Bayesian learning.