We develop the hybrid Monte Carlo method for simulations of single off-lattice polymer chains. We discuss implementation and choice of simulation parameters in some detail. The performance of the algorithm is tested on models for homopolymers with short- or long-range self-repulsion, using chains with $16\le N\le 512$ monomers. Without excessive fine tuning, we find that the computational cost grows as $N^{ 2+z^\prime}$ with $0.64<z^\prime<0.84$. In addition, we report results for the scaling of the end-to-end distance, $r_{ 1N}\sim N^\nu(\ln N)^{ -\alpha}$.
Categories: hep-lat