Reptation quantum Monte Carlo algorithm for lattice Hamiltonians with a directed-update scheme.

Giuseppe Carleo1, Federico Becca, Saverio Moroni

  • 1Scuola Internazionale Superiore di Studi Avanzati and Democritos National Simulation Center, Istituto Officina dei Materiali del CNR, Via Bonomea 265, I-34136 Trieste, Italy.

Summary

We extended the reptation quantum Monte Carlo algorithm for lattice systems, improving the fixed-node approximation for quantum systems. This method accurately estimates ground-state properties for models like the Heisenberg and Hubbard models.

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