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Enhanced d -wave pairing in the two-dimensional Hubbard model with periodically modulated hopping amplitudes.

Shuhui YangXingcan LiuWeiqi LiJianqun YangTao YingXingji LiXiudong Sun
Published in: Journal of physics. Condensed matter : an Institute of Physics journal (2022)
Utilizing determinant quantum Monte Carlo algorithm, the evolution of the d -wave pairing in the Hubbard model on the square lattice tuned by the periodically modulated hopping amplitudes is studied. The hopping amplitudes are homogeneous in thexˆ-direction, while in theyˆ-direction the hopping amplitudes are modulated with period P , wherety=t+dt,ty'=t-(P-1)dt, and the modulation period P equals 2, 3 and 4 lattice spacings. The latter two modulation periods are motivated by the observation of period-3 and period-4 stripe order in cuprate superconductors. For all the periods P , we find that the modulated hopping inhomogeneity enhances the d -wave pairing and an optimal inhomogeneity exists.
Keyphrases
  • monte carlo
  • machine learning
  • neural network