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arxiv: cond-mat/9503055 · v1 · pith:LYFHKQYQnew · submitted 1995-03-10 · ❄️ cond-mat

A Constrained Path Quantum Monte Carlo Method for Fermion Ground States

classification ❄️ cond-mat
keywords carlodeterminantsexactfermiongroundmethodmontequantum
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We propose a new quantum Monte Carlo algorithm to compute fermion ground-state properties. The ground state is projected from an initial wavefunction by a branching random walk in an over-complete basis space of Slater determinants. By constraining the determinants according to a trial wavefunction $|\Psi_T \rangle$, we remove the exponential decay of signal-to-noise ratio characteristic of the sign problem. The method is variational and is exact if $|\Psi_T\rangle$ is exact. We report results on the two-dimensional Hubbard model up to size $16\times 16$, for various electron fillings and interaction strengths.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Analyzing the two-dimensional doped Hubbard model with the Worldvolume HMC method

    hep-lat 2026-05 conditional novelty 6.0

    WV-HMC successfully simulates the doped 2D Hubbard model on 8x8 lattices at U/t=8 and T/t≈0.156 with controlled statistical errors.

  2. Applying the Worldvolume Hybrid Monte Carlo method to the Hubbard model away from half filling

    cond-mat.str-el 2025-07 unverdicted novelty 4.0

    WV-HMC computes number and energy densities for the doped 2D Hubbard model on 6x6 and 8x8 lattices at U/t=8 and T/t≈0.156, showing effectiveness where standard DQMC fails.