师资队伍

前沿计算研究中心

李彤阳

职称:助理教授

研究所:前沿计算研究中心

研究领域:量子算法设计(特别是量子机器学习、量子优化算法)、量子复杂性理论、量子模拟、量子游走

办公电话:86 (0)10 6276-6141

电子邮件:tongyanglipku.edu.cn

简介

李彤阳,现任北京大学前沿计算研究中心助理教授,博士生导师,北京大学博雅青年学者,国家自然科学基金面上项目、重大研究计划培育项目负责人。他于2015年在清华大学交叉信息研究院(姚班)和数学科学系分别获得工学士学位和理学士学位,2020年在美国马里兰大学获得博士学位,之后在美国麻省理工学院从事博士后研究工作,于2021年7月加入北京大学前沿计算研究中心并工作至今。他的科研围绕量子计算、人工智能、理论计算机的交叉领域展开,研究成果已在Nature Physics、Nature Communications、Journal of the ACM、Physical Review Letters、IEEE Transactions on Information Theory、STOC、ICML、NeurIPS、ICLR 等期刊、会议发表论文四十余篇;9次在国际量子信息方向的权威会议 QIP 上作报告;担任量子科学领域期刊 Quantum的期刊编辑,AQIS 2025会议共同主席,AQIS 2021, TQC 2022, QCTIP 2022, QIP 2023, ICLR 2024, QCTIP 2024, TQC 2024, NeurIPS 2024, ICLR 2025, NeurIPS 2025, ICLR 2026, QIP 2026, ICML 2026, TQC 2026会议的程务委员会成员/领域主席,以及相关领域多家顶级期刊和会议的审稿人。


发表论著

■ (by contribution) Yecheng Xue, Rui Yang, Zhiding Liang, and Tongyang Li. DC-MBQC: A Distributed Quantum Compilation Framework for Measurement-Based Quantum Computing. Accepted by the 32nd IEEE International Symposium on High Performance Computer Architecture (HPCA 2026).

■ Tongyang Li, Xinzhao Wang, and Yexin Zhang. Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games. Accepted by the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025).

■ (by contribution) Rui Yang, Ziruo Wang, Yuntian Gu, Yitao Liang, and Tongyang Li. QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design. Accepted by the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025).

■ (by contribution) Yexin Zhang*, Shuo Zhou*, Xinzhao Wang*, Ziruo Wang, Ziyi Yang, Rui Yang, Yecheng Xue, and Tongyang Li. Efficient classical sampling from Gaussian boson sampling distributions on unweighted graphs. Nature Communications, Vol. 16, No. 1, 9335, 2025.

■ (by contribution) Shankar Balasubramanian, Tongyang Li, and Aram Harrow. Exponential speedups for quantum walks in random hierarchical graphs. Communications in Mathematical Physics, Vol. 406, No. 9, 209, 2025.

■ Tongyang Li, Yuexin Su, Ziyi Yang, and Shengyu Zhang. Quantum Approximate Optimization Algorithms for Maxmimum Cut on Low-Girth Graphs. Physical Review Research, 7, 033014, 2025.

■ Tongyang Li, Quantum computers quickly find local minima, Nature Physics, 21, 512–513, 2025. (News & Views)

■ (by contribution) Weiyuan Gong*, Chenyi Zhang*, and Tongyang Li, Robustness of Quantum Algorithms for Nonconvex Optimization. Accepted by the 13th International Conference on Learning Representations (ICLR 2025).

■ (by contribution) Zherui Chen*, Yuchen Lu*, Hao Wang, Yizhou Liu, and Tongyang Li. Quantum Langevin Dynamics for Optimization.Communications in Mathematical Physics, Vol. 406, No. 3, 52, 2025.

■ (by contribution) Jiyu Jiang, Zongqi Wan, Tongyang Li, Meiyue Shao, and Jialin Zhang. Shadow Tomography of Quantum States with Prediction. Frontiers of Computer Science, Vol. 19, No. 7, pp. 1-12, 2025.

■ Xinyi Chen, Elad Hazan, Tongyang Li, Zhou Lu, Xinzhao Wang, and Rui Yang, Adaptive Online Learning of Quantum States. Quantum, 8:1471, 2024.

■ (by contribution) Weiyuan Gong*, Shuo Zhou*, and Tongyang Li. Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound. Quantum, 8:1409, 2024.