PhD Students

Yu-Sheng Zhao

Yu-Sheng Zhao (赵昱圣)

PhD candidate advised by Prof. Jin-Guo Liu. B.A. in Physics and Computer Science from NYU, M.A. in Physics from Stony Brook University. His research focuses on finding appropriate formulations for hard mathematical optimization problems (such as Quantum Ground-State Problem) as polynomial optimization problems, and developing methods to solve them using Semidefinite Programs (SDPs).

polynomial optimization semidefinite program
Zhong-Yi Ni

Zhong-Yi Ni (倪中一)

Dual B.Sc. degrees in Mathematics and Electronic Information Science from Fudan University. PhD student since 2023, working on scientific computing and quantum error correction. Maintains and develops TensorQEC.jl, a Julia package leveraging tensor network methodologies to decode and simulate quantum error-correcting codes.

quantum error correction tensor networks
Qing-Yun Qian

Qing-Yun Qian (钱青云)

B.Sc. in Physics from Suzhou University of Science and Technology. PhD student since 2023, focusing on quantum thermodynamics and quantum many-body physics. Contributed to PXPConstraint.jl for simulating constraint PXP model dynamics. Explores quantum many-body scars as quantum batteries.

quantum thermodynamics quantum many-body physics Rydberg atoms
Yu-Qing Rong

Yu-Qing Rong (容雨晴)

B.S. in Physics from Guangzhou University (Monte Carlo simulation of magnetic skyrmions). Joined in 2024, working on isometric PEPS on Rydberg atom arrays. Research includes tensor network variational optimization, compiling isoPEPS to quantum circuits, and designing isoPEPS ansatz for Rydberg atom arrays.

tensor networks quantum simulation
Long-Li Zheng

Long-Li Zheng (郑隆立)

B.Sc. in Physics from Shandong University. PhD student since 2024, working on crystal material design and crystal structure prediction. Research includes 2D material generation through machine learning, crystal and molecule structure search through ab initio calculation and mathematical optimization theory.

materials science machine learning
Han Wang

Han Wang (王涵)

B.S. from East China Normal University (2020), M.S. in Atomic and Molecular Physics from ECNU (2023). Worked on Rydberg atom manipulation, engineering high-fidelity quantum gates with Rydberg blockade effects. Joined in 2024, focusing on topologically protected fault-tolerant quantum computation and Rydberg-atom-based universal quantum cellular automata design.

neutral-atom quantum computation Rydberg atoms quantum error correction
Kai-Wen Jin

Kai-Wen Jin (靳开文)

B.Sc. in Mathematics from Nankai University. PhD student since 2024, focusing on automatic differentiation (AD) and numerical algorithms. Contributed to deriving backward-mode differentiation rules for linear and semidefinite programs, and analyzing sensitivity of analytic continuation methods for Green's functions.

numerical algorithms automatic differentiation
Huan-Hai Zhou

Huan-Hai Zhou (周唤海)

B.Sc. in Software Engineering from Tsinghua University, M.Sc. in Physics from CUHK. PhD student since 2024, working on computational many-body physics and quantum error correction. Developing computational methods using optimization tools and tensor network techniques, inspired by bootstrapping approaches.

quantum many-body physics optimization

Research Assistants

Xiao-Feng Li

Xiao-Feng Li (李晓锋)

Pursuing B.Eng. in Artificial Intelligence at HKUST(GZ). Joined as research assistant in July 2024 through UGRP. Focuses on development and maintenance of ProblemReductions.jl, a Julia package for reductions between computationally hard problems (Spin Glass, SAT, etc.).

computational complexity

Alumni

Yi-Dai Zhang

Yi-Dai Zhang (张伊代)