Curriculum Vitae
Education
Ph.D. Candidate in Computational Mathematics, School of Mathematical Sciences, Fudan University, Shanghai (2024–Present)
Research Focus: Quantum Computing and Fast Algorithms.B.Sc. in Mathematics and Applied Mathematics, School of Mathematical Sciences, Fudan University, Shanghai (2020–2024)
Awarded Outstanding Graduate of Fudan University.
Research & Internship Experience
LLM-RL Fine-tuning Practice (2026–Present)
Explored load distribution and performance bottlenecks across different stages of PPO, GRPO, and other reinforcement learning algorithms.
Used thetrllibrary for RL fine-tuning of large language models; improved rollout efficiency with vLLM and studied vLLM/SGLang inference frameworks.
Evaluated optimizers (Adam, Lion, Muon) and gained experience with multi-GPU training: data/model/pipeline parallelism, DeepSpeed ZeRO, LoRA-based fine-tuning.Parallel PDE Solver (2026–Present)
Implemented high-performance Poisson–Boltzmann equation solver in C++/MPI using the HIF-SI algorithm library, achieving linear scaling with problem size.
Benchmarking and optimization on Tianhe-3 supercomputer and commercial cloud platforms; tuned communication and load balancing strategies.Research on Macro Placement, Huawei Cooperation Project (2024–2025)
Studied macro placement in chip physical design; surveyed state-of-the-art open-source techniques.
Developed C++ placement algorithms to improve 2D macro placement in Huawei’s in-house tool; code merged into the internal codebase.
Optimized Open3DBench’s 3D macro placement algorithm for better layout quality and efficiency.HPC Cluster Administrator, Fudan University (2024–Present)
Set up and maintain a multi-node HPC cluster for the research group; configured network and storage.
Installed scientific software, managed environments, and user support; monitored cluster health; administered compute resources via Slurm.Quantum Computing Algorithm Implementation (2023–2025)
Implemented quantum algorithms (qOMM, SSVQD) for molecular excited-state energy calculations using Qiskit.
Code contributed and merged into the qiskit-ecosystem community.
Publications
- Zhu, G., Bierman, J., Lu, J., & Li, Y.
“Quantum Circuit for Non-Unitary Linear Transformation of Basis Sets.”
arXiv preprint arXiv:2502.08962, 2025.
arXiv:2502.08962 To appear in npj Quantum Inf.Preprints
- Zhu, G., Bierman, J., Lu, J., & Li, Y.
“State-Specific Orbital Optimization for Enhanced Excited-States Calculation on Quantum Computers.”
arXiv preprint arXiv:2510.13544, 2025.
arXiv:2510.13544
Awards
- 2021 — Second Prize (Shanghai Division), National Undergraduate Mathematics Competition, China.
- 2019 — First Prize (Henan Division), National High School Physics Competition, China.
Technical Skills
- Programming / Tools: Python, C++, Linux, MPI
- Mathematics: Numerical analysis, linear algebra, probability theory
Languages
- Chinese: Native speaker
- English: Fluent (academic and technical writing)
Research Interests
- High-Performance Computing
- Scientific Software Development
- Numerical Algorithms
- Quantum Computing
