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Updated: Jun 27, 2025

Setting Limits on Supersymmetry Using Simplified Models
Published on: November 15, 2013
Exact Diagonalization of SU(N) Fermi-Hubbard Models.
Thomas Botzung1, Pierre Nataf1
1Laboratoire de Physique et Modélisation des Milieux Condensés, Université Grenoble Alpes and CNRS, 25 avenue des Martyrs, 38042 Grenoble, France.
Researchers developed a new method for exact diagonalizations of SU(N) Fermi-Hubbard models using representation theory. This approach simplifies calculations and reveals new insights into SU(N) phases, including a color ordered phase for N=4.
Area of Science:
- Condensed matter physics
- Quantum many-body systems
- Strongly correlated electron systems
Background:
- Exact diagonalization is crucial for understanding quantum many-body models.
- SU(N) Fermi-Hubbard models are relevant for studying systems with multiple internal "colors" or flavors.
- Previous methods faced challenges in scaling with system size and particle number.
Purpose of the Study:
- To develop an efficient method for exact diagonalization of SU(N) Fermi-Hubbard models.
- To utilize representation theory for simplifying Hamiltonian matrix elements.
- To investigate the stability of SU(N) phases under varying interaction strengths.
Main Methods:
- Employed representation theory of the unitary group U(L).
- Constructed an orthonormal basis using semistandard Young tableaux or Gelfand-Tsetlin patterns.
- Performed exact diagonalizations on L-site clusters for various SU(N) symmetries.
Main Results:
- Demonstrated a simplified Hamiltonian in the chosen basis.
- Investigated the robustness of SU(N) phases by decreasing on-site interaction U.
- Observed the emergence of a long-range color ordered phase for N=4 at 1/4 filling on a triangular lattice.
Conclusions:
- The developed method provides a powerful tool for studying SU(N) Fermi-Hubbard models.
- Representation theory offers a systematic way to handle complex many-body systems.
- The findings highlight the rich phase diagram of SU(N) models, with potential for new emergent phenomena.
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