Ace-TN: GPU-Accelerated Corner-Transfer-Matrix Renormalization of
Infinite Projected Entangled-Pair States
Abstract
The infinite projected entangled-pair state (iPEPS) ansatz is a powerful
tensor-network approximation of an infinite two-dimensional quantum many-body
state. Tensor-based calculations are particularly well-suited to utilize the
high parallel efficiency of modern GPUs. We present Ace-TN, a modular and
easily extendable open-source library developed to address the current need for
an iPEPS framework focused on GPU acceleration. We demonstrate the advantage of
using GPUs for the core iPEPS simulation methods and present a simple
parallelization scheme for efficient multi-GPU execution. The latest
distribution of Ace-TN can be obtained at https://github.com/ace-tn/ace-tn.