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 Experience
Research on Macro Placement, Huawei Cooperation Project, Shanghai (2024–Present)
Participated in a joint research project with Huawei on macro placement in chip physical design.
Developed placement algorithms and evaluation scripts in Python/C++ for industrial EDA datasets.Administrator, Small-Scale HPC Cluster, Fudan University, Shanghai (2024–Present)
Maintained and managed an internal high-performance computing cluster,
including configurations of NFS, Slurm, and distributed computing environments.Assistant Organizer, International Summer School on Quantum Computing, Fudan University, Shanghai (2024)
Assisted in organizing academic activities, guest coordination, and technical support for participants.
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
- 2019 — First Prize (Henan Division), National High School Physics Competition, China.
Technical Skills
- Programming: Python, C++, basic CUDA
- HPC / Tools: Linux, Slurm, BLAS, LAPACK, basic MPI
- Mathematics: Numerical analysis, linear algebra, probability theory, stochastic processes
Languages
- Chinese: Native speaker
- English: Fluent (academic and technical writing)
Research Interests
- High-Performance Computing
- Scientific Software Development
- Numerical Algorithms
- Quantum Computing
