Publications

Qiyao (Catherine) Liang, Ziming Liu, Mitchell Ostrow, Ila R. Fiete (2024). How Diffusion Models Learn to Factorize and Compose. NeurIPS 2024.

Qiyao (Catherine) Liang, Mingyu Kang, Ming Li, Yunseong Nam (2024). Pulse optimization for high-precision motional-mode characterization in trapped-ion quantum computers. Quantum Sci. Technol. 9 035007.

Qiyao (Catherine) Liang, Ziming Liu, Ila R. Fiete (2024). Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?. ICLR 2024 Workshop ME-FoMo.

Qiyao (Catherine) Liang, Yiqing Zhou, Archismita Dalal, Peter D. Johnson (2023). Modeling the Performance of Early Fault-Tolerant Quantum Algorithms. Phys. Rev. Res. 6 023118.

Mingyu Kang, Qiyao (Catherine) Liang, Ming Li, Yunseong Nam (2023). Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing. Quantum Sci. Technol. 8 024002.

Mingyu Kang, Qiyao (Catherine) Liang, Bichen Zhang, Shilin Huang, Ye Wang, Chao Fang, Jungsang Kim, Kenneth R. Brown (2021). Batch Optimization of Frequency-Modulated Pulses for Robust Two-Qubit Gates in Ion Chains. Phys. Rev. Applied 16, 024039.

Ye Wang, Stephen Crain, Chao Fang, Bichen Zhang, Shilin Huang, Qiyao (Catherine) Liang, Pak Hong Leung, Kenneth R. Brown, Jungsang Kim (2020). High-Fidelity Two-Qubit Gates Using a Microelectromechanical-System-Based Beam Steering System for Individual Qubit Addressing. Phys. Rev. Lett. 125, 150505.