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A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians

Computational Physics 2026-01-27 v2 Other Condensed Matter Strongly Correlated Electrons Quantum Physics

Abstract

We present a universal quantum Monte Carlo algorithm for simulating arbitrary high-spin (spin greater than 1/2) Hamiltonians, based on the recently developed permutation matrix representation (PMR) framework. Our approach extends a previously developed PMR-QMC method for spin-1/2 Hamiltonians [Phys. Rev. Research 6, 013281 (2024)]. Because it does not rely on a local bond decomposition, the method applies equally well to models with arbitrary connectivities, long-range and multi-spin interactions, and its closed-walk formulation allows a natural analysis of sign-problem conditions in terms of cycle weights. To demonstrate its applicability and versatility, we apply our method to spin-1 and spin-3/2 quantum Heisenberg models on the square lattice, as well as to randomly generated high-spin Hamiltonians. Additionally, we show how the approach naturally extends to general Hamiltonians involving mixtures of particle species, including bosons and fermions. We have made our program code freely accessible on GitHub.

Keywords

Cite

@article{arxiv.2503.08039,
  title  = {A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians},
  author = {Arman Babakhani and Lev Barash and Itay Hen},
  journal= {arXiv preprint arXiv:2503.08039},
  year   = {2026}
}

Comments

16 pages, 6 figures, 3 tables

R2 v1 2026-06-28T22:15:13.463Z