Tensor-Network Simulations of the Surface Code under Realistic Noise
Quantum Physics
2017-08-02 v2
Abstract
The surface code is a many-body quantum system, and simulating it in generic conditions is computationally hard. While the surface code is believed to have a high threshold, the numerical simulations used to establish this threshold are based on simplified noise models. We present a tensor-network algorithm for simulating error correction with the surface code under arbitrary local noise. We use this algorithm to study the threshold and the subthreshold behavior of the amplitude-damping and systematic rotation channels. We also compare these results to those obtained by making standard approximations to the noise models.
Cite
@article{arxiv.1607.06460,
title = {Tensor-Network Simulations of the Surface Code under Realistic Noise},
author = {Andrew S. Darmawan and David Poulin},
journal= {arXiv preprint arXiv:1607.06460},
year = {2017}
}
Comments
5 pages, 2 figures and supplemental material (3 pages, 2 figures); v2 published version