秦明普 - 上海交通大学 - 李政道研究所

个人简介

秦明普量子专项学者量子基础科学研究部教育背景 2013 年中国科学院物理研究所博士 2008 年北京航空航天大学物理系学士工作经历 2019 上海交通大学 2013-2019 瑞士联邦材料科学与技术实验室博士后

研究领域

凝聚态物理中的强关联量子多体系统与高温超导相关的Hubbard模型，t-j模型阻挫自旋体系与量子自旋液体强关联数值方法：量子蒙特卡洛，密度矩阵重整化群，张量网络态等，机器学习算法量子计算与多体物理的结合

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Mingpu Qin#, Chia-Min Chung#, Hao Shi, Ettore Vitali, Claudius Hubig, Ulrich Schollwöck, Steven R. White, and Shiwei Zhang (Simons Collaboration on the Many-Electron Problem). Absence of Superconductivity in the Pure Two-Dimensional Hubbard Model, Phys. Rev. X 10, 031016 (2020). #equal contribution. Chia-Min Chung, Mingpu Qin, Shiwei Zhang, Ulrich Schollwöck, and Steven R. White (Simons Collaboration on the Many-Electron Problem). Plaquette versus ordinary d-wave pairing in the t′-Hubbard model on a width-4 cylinder, Phys. Rev. B 102, 041106 (2020). Rapid Communication. Bo-Xiao Zheng #, Chia-Min Chung #, Philippe Corboz #, Georg Ehlers #, Ming-Pu Qin #, Reinhard M. Noack, Hao Shi #, Steven R. White, Shiwei Zhang, Garnet Kin-Lic Chan. Stripe order in the underdoped region of the two-dimensional Hubbard model. Science 358, 1155 (2017). #equal contribution. Mingpu Qin, Hao Shi, Shiwei Zhang. Coupling quantum Monte Carlo and independent-particle calculations: self-consistent constraint for the sign problem based on density or density matrix. Phys. Rev. B 94, 235119 (2016). Mingpu Qin, Hao Shi, Shiwei Zhang. Benchmark study of the two-dimensional Hubbard model with auxiliary-field quantum Monte Carlo method. Phys. Rev. B 94, 085103 (2016). J. P. F. LeBlanc, Andrey E. Antipov, Federico Becca, Ireneusz W. Bulik, Garnet Kin-Lic Chan, Chia-Min Chung, Youjin Deng, Michel Ferrero, Thomas M. Henderson, Carlos A. Jimenez-Hoyos, E. Kozik, Xuan-Wen Liu, Andrew J. Millis, N. V. Prokofev, Mingpu Qin, Gustavo E. Scuseria, Hao Shi, B. V. Svistunov, Luca F. Tocchio, I. S. Tupitsyn, Steven R. White, Shiwei Zhang, Bo-Xiao Zheng, Zhenyue Zhu, Emanuel Gull. Solutions of the Two Dimensional Hubbard Model: Benchmarks and Results from a Wide Range of Numerical Algorithms. Phys. Rev. X 5, 041041 (2015).