Ph.D. Computational Mathematics, Stanford University (Expected 2027)
M.S. Computational Mathematics, Stanford University (Expected 2025)
Ph.D. Theoretical Chemistry, University of Chicago (2023)
M.S. Theoretical Chemistry, University of Chicago (2020)
B.S. Physics, University of Chinese Academy of Sciences (2019)
B.S. Chemistry, University of Chinese Academy of Sciences (2019)
Areas of Interest
Numerical Analysis and Scientific Computing
Quantum Many-Body Theory and Methods
Quantum Computation and Simulation
Experience
2022-2023: Graduate Researcher, Prof. Yuehaw Khoo’s Group, Committee on Computational and Applied Mathematics, University of Chicago
2019-2022: Graduate Researcher, Prof. Giulia Galli’s Group, Department of Chemistry, University of Chicago
2021-2022: Research Intern, Dr. Olivier Parcollet’s group, Center for Computational Quantum Physics, Flatiron Institute
2018-2019: Undergraduate Researcher, Prof. Tao Xiang's group, Institute of Physics, Chinese Academy of Sciences
2018-2019: Undergraduate Researcher, Prof. Qiang Shi's group, Institute of Chemistry, Chinese Academy of Sciences
Publications
Nan Sheng, Alexander Hampel, Sophie Beck, Olivier Parcollet, Nils Wentzell, Jason Kaye, and Kun Chen Low rank Green's function representations applied to dynamical mean-field theory Phys. Rev. B 107, 245123 (2023).
Benchen Huang, Nan Sheng, Marco Govoni, and Giulia Galli Quantum simulations of Fermionic Hamiltonians with efficient encoding and ansatz schemes J. Chem. Theory Comput. 19, 1487–1498 (2023).
Nan Sheng*, Christian Vorwerk*, Marco Govoni, and Giulia Galli (*equal contribution) Green’s Function Formulation of Quantum Defect Embedding Theory J. Chem. Theory Comput. 18, 3512-3522 (2022).
Christian Vorwerk*, Nan Sheng*, Marco Govoni, Benchen Huang, and Giulia Galli (*equal contribution) Quantum Embedding Theories to Simulate Condensed Systems on Quantum Computers Nature Comput. Sci. 2, 424–432 (2022).
