Khatami, Ehsan

Professor of Physics
Ehsan Explains

Email

Preferred: ehsan.khatami@sjsu.edu

Telephone

Preferred: 408-924-5235

Education

  • Doctor of Philosophy, Physics, University of Cincinnati, 2009
  • Master of Science, Physics, Sharif University of Technology, 2004
  • Bachelor of Science, Physics, Isfahan University of Technology, 2001

Research Interests

Strongly correlated electronic systems
Machine learning applications in quantum physics
Ultracold atoms in optical lattices
Numerical methods in condensed matter physics
Quantum information science

Recent Awards

Dean's Scholar (2025)

Exceptional Levels of Service to Students, 2021 & 2023

Selected Publications

  • "Observation of Nagaoka polarons in a Fermi–Hubbard quantum simulator"
    M. Lebrat, M. Xu, L. H. Kendrick, A. Kale, Y. Gang, P. Seetharaman, I. Morera, E. Khatami, E. Demler, M. Greiner
    ;
    News article: 
  • "Experimental Realization of an Extended Fermi-Hubbard Model Using a 2D Lattice of Dopant-based Quantum Dots"
    X. Wang, E. Khatami, F. Fei, J. Wyrick, P. Namboodiri, R. Kashid, A. F. Rigosi, G. Bryant and R. M. Silver
    ;
    News brief: 
  • "Machine learning in electronic quantum matter imaging experiments"
    Yi Zhang, A. Mesaros, K. Fujita, S. D. Edkins, M. H. Hamidian, K. Ch'ng, H. Eisaki, S. Uchida, J. C. Séamus Davis, E. Khatami, Eun-Ah Kim
    ;
    News articles: , ,
  • "Spin transport in a Mott insulator of ultracold fermions"
    M. A. Nichols, L. W. Cheuk, M. Okan, T. R. Hartke, E. Mendez, T. Senthil, E. Khatami, H. Zhang, M. W. Zwierlein;
    News article:
  • "Spin-imbalance in a 2D Fermi-Hubbard system"
    P. T Brown, D. Mitra, E. Guardado-Sanchez, P. Schauß, S. S. Kondov, E. Khatami, T. Paiva, N. Trivedi, D. A. Huse, W. S. Bakr
    ;
    News posts: , ,
  • "Machine learning phases of strongly correlated fermions"
    K. Ch'ng, J. Carrasquilla, R. G. Melko, E. Khatami
    ; APS News: ;
  • "Observation of antiferromagnetic correlations in the Hubbard model with ultracold atoms"
    R. A. Hart, P. M. Duarte, T.-L. Yang, X. Liu, T. Paiva, E. Khatami, R. T. Scalettar, N. Trivedi, D. A. Huse, and R. G. Hulet
    ;
    Web stories: , ,

Check out my for a complete list. Other preprints can be found in .

Funding

Current: National Science Foundation (NSF): and , Department of Energy's Office of Science: (renewal), and .

Past: NSF: , , and ; and Department of Energy's Office of Science:

Links

Beginner Machine Learning