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Chong Sun

Contact
📍 CCB 4302
☎️ (848) 445-8388
📧 chong[dot]sun[at]rutgers[dot]edu

Education
Ph.D. California Institute of Technology (2021)
B.A. Peking University (2015)

 

 

Selected Honors & Awards

  • Scialog Fellow, Quantum Matter & Information, 2026
  • Chair’s Poster Award, American Conference on Theoretical Chemistry, 2024
  • Barbara J. Burger Fellowship, 2019
  • CCE Teaching Award, California Institute of Technology, 2018
  • Centennial Fellowship in the Natural Science and Engineering, 2015
  • Chun-Tsung Scholarship, 2014
  • Merit Student, Peking University, 2014
  • Pan Gu Fellowship, 2013

Talks

  • “Toward Intelligent Materials Design through Quantum Embedding and Generative AI.” Seminar at MSE, Rutgers University, 2025.
  • “Generative Models and Their Applications in Chemistry.” Chemistry Colloquium, Rutgers University, 2025.
  • “Connecting Strong and Weak Correlations with Nonorthogonal Configuration Interaction.” Contributed Talk at ACS March Meeting, 2025.
  • “Waveflow: A Generative Neural Network for Learning Electronic Wavefunctions.” Contributed Talk at ACS March Meeting, 2025.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” Harvard University, Cambridge, MA, Feb. 2025.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” Rutgers University, New Brunswick, NJ, Jan. 2025.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” SUNY Binghamton, Binghamton, NY, Dec. 2024.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” University of Oklahoma, Norman, OK, Dec. 2024.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” University of Rhode Island, Kingston, RI, Nov. 2024.
  • “Designing Computational Methods for Strongly Correlated Electrons.” Rice Quantum Initiative Seminar, Houston, TX, Nov. 2024.
  • “How to Design Quantum Chemistry Methods.” Texas A&M University, College Station, TX, Oct. 2024.
  • “Neural Networks as a Quantum Chemistry Ansatz: A Chemist’s View.” University of Washington, Seattle, WA, Aug. 2024.
  • “Study of Many-Body Localization with Complex Polarization.” APS March Meeting, Mar. 2024.
  • “A Chemist’s View of Quantum Computing.” Tulane University, Online, Nov. 2023.
  • “Numerical Solutions to Large Eigenvalue Problems in Chemistry.” Lawrence Berkeley National Laboratory, Berkeley, CA, Mar. 2023.
  • “Study of Strongly Correlated Materials with Density Matrix Embedding Theory.” 15th International Conference on Theoretical and High-Performance Computational Chemistry, Online, Jul. 2022.
  • “Designing Classical and Quantum Algorithms for Strongly Correlated Materials.” Google Quantum, Online, Nov. 2021.
  • “Density Matrix Embedding Theory and Quantum Imaginary Time Evolution.” ByteDance, Online, Aug. 2021.
  • “Solving Chemistry Problems with Quantum Computers.” California Institute of Technology CCE Seminar Day, Pasadena, CA, Nov. 2020.
  • “Quantum Algorithms for Quantum Chemistry Simulations.” Peking University, Beijing, China, Jan. 2020.
  • “Quantum Imaginary Time Evolution.” Quantum Information Processing, Jan. 2020.
  • “Finite-Temperature Density Matrix Embedding Theory.” Simons Many-Electron Collaboration Summer School, Jun. 2019.
  • “Finite-Temperature Density Matrix Embedding Theory.” APS March Meeting, Mar. 2017.