Quantum cluster algorithm for frustrated Ising models in a transverse field
Sounak Biswas, Geet Rakala, Kedar Damle
Working within the stochastic series expansion framework, we introduce and characterize a plaquette-based quantum cluster algorithm for quantum Monte Carlo simulations of transverse field Ising models with frustrated Ising exchange interactions. As a demonstration of the capabilities of this algorithm, we show that a relatively small ferromagnetic next-nearest-neighbor coupling drives the transverse field Ising antiferromagnet on the triangular lattice from an antiferromagnetic three-sublattice ordered state at low temperature to a ferrimagnetic three-sublattice ordered state.
arXiv:1512.00931•Physical review. B./Physical review. B•Jun 1, 2016•14 citations