Optimization of networks for measurement-based quantum computation
Abstract
This work introduces optimization strategies to continuous variable measurement based quantum computation (MBQC) at different levels. We provide a recipe for mitigating the effects of finite squeezing, which affect the production of cluster states and the result of a traditional MBQC. These strategies are readily implementable by several experimental groups. Furthermore, a more general scheme for MBQC is introduced that does not necessarily rely on the use of ancillary cluster states to achieve its aim, but rather on the detection of a resource state in a suitable mode basis followed by digital post-processing. A recipe is provided to optimize the adjustable parameters that are employed within this framework.
Cite
@article{arxiv.1407.5318,
title = {Optimization of networks for measurement-based quantum computation},
author = {G. Ferrini and J. Roslund and F. Arzani and Y. Cai and C. Fabre and N. Treps},
journal= {arXiv preprint arXiv:1407.5318},
year = {2016}
}
Comments
This is a more compact version of our work, some of the material present in version 1 has been submitted separately