Quantum Monte Carlo in the Interaction Representation --- Application to a Spin-Peierls Model
A. W. Sandvik, R. R. P. Singh, D. K. Campbell

TL;DR
This paper introduces a quantum Monte Carlo algorithm in the interaction representation, enabling exact simulations of spin chains coupled to phonons, and applies it to study the spin-Peierls transition with implications for real materials.
Contribution
A novel quantum Monte Carlo method in the interaction representation that handles phonon degrees of freedom without truncation, applied to spin-Peierls models.
Findings
The method accurately captures magnetic properties across a wide temperature range.
Dynamic phonons significantly influence the magnetic behavior of spin-Peierls compounds.
Results highlight the necessity of including phonon effects for realistic modeling.
Abstract
A quantum Monte Carlo algorithm is constructed starting from the standard perturbation expansion in the interaction representation. The resulting configuration space is strongly related to that of the Stochastic Series Expansion (SSE) method, which is based on a direct power series expansion of exp(-beta*H). Sampling procedures previously developed for the SSE method can therefore be used also in the interaction representation formulation. The new method is first tested on the S=1/2 Heisenberg chain. Then, as an application to a model of great current interest, a Heisenberg chain including phonon degrees of freedom is studied. Einstein phonons are coupled to the spins via a linear modulation of the nearest-neighbor exchange. The simulation algorithm is implemented in the phonon occupation number basis, without Hilbert space truncations, and is exact. Results are presented for the…
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