Simulating both parity sectors of the Hubbard model with tensor networks

  title={Simulating both parity sectors of the Hubbard model with tensor networks},
  author={Manuel Schneider and Johann Ostmeyer and Karl Jansen and Thomas C. Luu and Carsten Urbach},
  journal={Physical Review B},
Tensor networks are a powerful tool to simulate a variety of different physical models, including those that suffer from the sign problem in Monte Carlo simulations. The Hubbard model on the honeycomb lattice with nonzero chemical potential is one such problem. Our method is based on projected entangled pair states using imaginary-time evolution. We demonstrate that it provides accurate estimators for the ground state of the model, including cases where Monte Carlo simulations fail miserably… 

The Hubbard model with fermionic tensor networks

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Stochastic and Tensor Network simulations of the Hubbard Model

  • J. Ostmeyer
  • Physics
    Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022)
  • 2022
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Physical Review B 81

  • 174411
  • 2010