研究领域
主要研究领域为多体量子系统与量子引力的结构刻画,从拓扑相与相变出发,运用范畴学与高阶代数发展统一框架,并探索人工智能驱动的形式化证明。
教育背景
本科,University of Minnesota Twin cities,2013-2017
博士,复旦大学,2018-2025
荣誉与奖励
1. 2022 The Fourth Quantum Computing Hackathon National Competition Excellence Award (第四届华为量子计算黑客松全国大赛优秀奖)
2. 2022 Doctoral National scholarship (博士研究生国家奖学金)
3. 2022 Outstanding Student Award of Fudan University(复旦大学优秀毕业生)
4. 2022 Ascend Al Innovation Competition Bronze Award (昇腾AI创新大赛铜奖)
5. 2023 Mindspore Quantum Computing Hackathon National Competition Second Prize (MindSpore量子计算黑客松全国大赛二等奖)
6. 2025 AI for Science Hackathon · Beijing First Prize(AI for Science 黑客松北京站 一等奖)
论文发表
• Guo, L., Yan, Y., Xu, R., Li, J., Zeng, C. (2021). Zero‑Bias Conductance Peaks Effectively Tuned by Gating‑Controlled Rashba Spin‑Orbit Coupling. Physical Review Letters, 126(5), 057701.
• Rongge, Xu, Zhi‑Hao Zhang. (2022). Categorical Descriptions of 1‑dimensional Gapped Phases with Abelian Onsite Symmetries. Physical Review B, 110(15), 155106.
• Rongge, Xu, Holiverse Yang. (2024). 2‑Morita Equivalent Condensable Algebras in Topological Orders. Chinese Physics Letters, 2025, 42(7): 070710.