People

Faculty

Jin-Guo Liu

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Students

Yu-Sheng Zhao

Yusheng Zhao is currently a PhD candidate advised by Prof. Jin-Guo Liu. Prior to his doctoral studies, Yusheng Zhao obtained a B.A. in Physics and Computer Science from New York University, followed by an M.A. in Physics from Stony Brook University. During his Master's, he worked under the supervision of Prof. Tzu-Chieh Wei, focusing on Quantum Error Mitigation.

His current research interest includes finding appropriate formulations for hard mathematical optimization problems, such as Quantum Ground-State Problem, as polynomial optimization problems, and developing methods to solve them. This involves relaxing the resulting polynomial problems into Semidefinite Programs (SDPs) and exploring the use of symmetries and sparsities inherent in the problems to enable solving larger-scale instances effectively.

Yu-Sheng Zhao

Zhong-Yi Ni

Zhongyi Ni(倪中一) received his dual B.Sc. degrees in Mathematics and Electronic Information Science from Fudan University. He joined Jin-Guo’s group as a Ph.D. student in 2023 and is currently working on scientific computing and quantum error correction. His contributions include maintaining and developing TensorQEC.jl. It is a Julia package that leverages tensor network methodologies to decode and simulate quantum error-correcting codes, enabling systematic analysis of their theoretical and practical properties. Through this work, Zhongyi seeks to advance the integration of foundational quantum information theory with robust computational tools for real-world applications. Zhong-Yi Ni

Qing-Yun Qian

Qingyun Qian (钱青云) received his B.Sc. degree in Physics from Suzhou University of Science and Technology, where he worked on open quantum systems and memristor. He joined the Jin-Guo group as a Ph.D. student in 2023, focusing on quantum thermodynamics and quantum many-body physics. His research interests include quantum thermodynamics, Rydberg-based quantum computation and quantum many-body physics. He has contributed to the development of the Julia package PXPConstraint.jl, designed for simulating constraint pxp model dynamics. He also explores the utility of quantum many-body scars as quantum batteries, both analytically and numerically.Through his work, he aims to extend the theoretical boundaries of quantum thermodynamics and uncover new physical phenomena in many-body quantum systems from a thermodynamic perspective.

Qing-Yun Qian

Yu-Qing Rong

Yuqing-Rong received her B.S. in physics at Guangzhou University, where she worked on magnetic skyrmion simulation with Monte Carlo method. She joined Jinguo’s group in 2024 and is currently working on isometric PEPS on Rydberg atom arrays. Her work includes tensor network variational optimization, compiling isoPEPS to quantum circuit and run it on quantum simulator, and designing isoPEPS ansatz for Rydberg atom arrays. Yu-Qing Rong

Long-Li Zheng

Longli Zheng(郑隆立) received his B.Sc. degrees in Physics at Shandong University. He joined Jin-Guo’s Group as a Ph.D. student in 2024 and is currently working on crystal material design and crystal structure prediction. His work includes 2D material generation through machine learning method, crystal and molecule structure search through ab initio calculation and mathematical optimization theory.

Long-Li Zheng

Han Wang

Han Wang received her Bachelor’s degree from East China Normal University (ECNU) in 2020 and her Master’s degree in Physics (specializing in Atomic and Molecular Physics) from ECNU in 2023. During her graduate studies in Prof. Jing Qian’s group, she focused on Rydberg atom manipulation, where she engineered high-fidelity quantum gates leveraging Rydberg blockade and anti-blockade effects and developed optimal control protocols to enhance excitation efficiency in neutral-atom quantum systems. In 2024, she joined the research group of Prof. Jinguo Liu, continuing to advance neutral-atom-based quantum technologies. Her current research integrates topologically protected fault-tolerant quantum computation through optimized pulsed protocols and Rydberg-atom-based universal quantum cellular automata design.

Han Wang

Kai-Wen Jin

Kaiwen Jin (靳开文) obtained B.Sc. degree in Mathematics from Nankai University. He joined the Jin-Guo group as a Ph.D. student in 2024, focusing on automatic differentiation (AD) and numerical algorithms. His work involves the development of AD rules and sensitivity analysis techniques based on AD. He has contributed to deriving backward-mode differentiation rules for linear and semidefinite programs, as well as analyzing the sensitivity of analytic continuation methods for Green’s functions. Through these efforts, he aims to design robust numerical algorithms and implement them in open-source software to tackle practical computational challenges.

Kai-Wen Jin

Huan-Hai Zhou

Huanhai Zhou (周唤海) received his B.Sc. degree in Software Engineering from Tsinghua University and M.Sc. degree in Physics from the Chinese University of Hong Kong. He joined Jin-Guo’s group as a Ph.D. student in 2024 and is currently working on computational many-body physics and quantum error correction. His research involves developing computational methods that leverage optimization tools and tensor network techniques to calculate physical quantities, drawing inspiration from bootstrapping approaches. He is also dedicated to implementing these methods in open-source software. Through his work, Huanhai aims to integrate advanced optimization techniques into computational quantum physics, providing numerically efficient methods along with rigorous certifications of accuracy for physical quantities and phenomena.

Huan-Hai Zhou

Research assistants

Xiao-Feng Li

LI Xiaofeng (李晓锋) is now pursuing a BEng degree in Artificial Intelligence at HKUST(GZ). He joined Jinguo's group as a research assistant in July 2024, through the opporunity of Undergraduate Research Program (UGRP) . His contributions focus on the development and maintenance of ProblemReductions.jl, a Julia package designed to enable reductions between computationally hard problems, such as Spin Glass and SAT. He aims to build a comprehensive reduction framework of well-known problems and offer unified interfaces for practitioners who want to explore the landscape of computational complexity.

Xiao-Feng Li

Past Members

Yi-Dai Zhang

Yi-Dai Zhang