SUN LAB at Rutgers University

Principal Investigator

Chong Sun

Contact

Office: CCB 4302

Phone: (848) 445-8388

Email: chong.sun@rutgers.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

Upcoming Talks & Trips

  • Talk at the College of New Jersey, September
  • Talk to the Physics Department, Rutgers, September
  • 2026 Scialog QMI Conference, October
  • Talk at Rutgers-Newark Physics, October

Past Talks

  • “Electronic Structures of Quantum Materials.” Rutgers Chemical Physics Symposium, 2026.
  • “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, February 2025.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” Rutgers University, New Brunswick, NJ, January 2025.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” SUNY Binghamton, Binghamton, NY, December 2024.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” University of Oklahoma, Norman, OK, December 2024.
  • “Designing Quantum Chemistry Methods with and Beyond Chemical Intuition.” University of Rhode Island, Kingston, RI, November 2024.
  • “Designing Computational Methods for Strongly Correlated Electrons.” Rice Quantum Initiative Seminar, Houston, TX, November 2024.
  • “How to Design Quantum Chemistry Methods.” Texas A&M University, College Station, TX, October 2024.
  • “Neural Networks as a Quantum Chemistry Ansatz: A Chemist’s View.” University of Washington, Seattle, WA, August 2024.
  • “Study of Many-Body Localization with Complex Polarization.” APS March Meeting, March 2024.
  • “A Chemist’s View of Quantum Computing.” Tulane University, online, November 2023.
  • “Numerical Solutions to Large Eigenvalue Problems in Chemistry.” Lawrence Berkeley National Laboratory, Berkeley, CA, March 2023.
  • “Study of Strongly Correlated Materials with Density Matrix Embedding Theory.” 15th International Conference on Theoretical and High-Performance Computational Chemistry, online, July 2022.
  • “Designing Classical and Quantum Algorithms for Strongly Correlated Materials.” Google Quantum, online, November 2021.
  • “Density Matrix Embedding Theory and Quantum Imaginary Time Evolution.” ByteDance, online, August 2021.
  • “Solving Chemistry Problems with Quantum Computers.” California Institute of Technology CCE Seminar Day, Pasadena, CA, November 2020.
  • “Quantum Algorithms for Quantum Chemistry Simulations.” Peking University, Beijing, China, January 2020.
  • “Quantum Imaginary Time Evolution.” Quantum Information Processing, January 2020.
  • “Finite-Temperature Density Matrix Embedding Theory.” Simons Many-Electron Collaboration Summer School, June 2019.
  • “Finite-Temperature Density Matrix Embedding Theory.” APS March Meeting, March 2017.