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Related Experiment Video

Updated: May 14, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

Solving the parquet equations for the Hubbard model beyond weak coupling.

Ka-Ming Tam1, H Fotso, S-X Yang

  • 1Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 16, 2013
PubMed
Summary

Imposing crossing symmetry in the Hubbard model

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Area of Science:

  • Condensed matter physics
  • Quantum mechanics
  • Computational physics

Background:

  • The Hubbard model is a fundamental model in condensed matter physics for studying strongly correlated electron systems.
  • Solving the parquet equations for the Hubbard model is computationally challenging, especially at low temperatures and strong interactions.
  • Existing iterative methods often exhibit limited convergence ranges.

Purpose of the Study:

  • To extend the convergence range of solutions for the parquet equations in the Hubbard model.
  • To improve the efficiency and stability of iterative methods for solving correlated electron models.
  • To facilitate the solution of two-particle field theories for these models.

Main Methods:

  • Modification of the iterative algorithm to incorporate crossing symmetry.
  • Implementation of a latency hiding scheme for computational performance enhancement.
  • Inclusion of time reversal and point group symmetries (though found to not further improve convergence).

Main Results:

  • Imposing crossing symmetry significantly broadens the convergence range of the parquet equations.
  • Stable solutions are obtained more rapidly, even for strong interactions and low temperatures.
  • The modified algorithm achieves convergence where previous methods failed.

Conclusions:

  • Crossing symmetry is crucial for extending the convergence of iterative solutions to the Hubbard model's parquet equations.
  • The developed computational techniques offer a more efficient pathway to solving complex correlated electron models.
  • This work represents a significant advancement towards solving two-particle field theories for these systems.