Optimization of networks for measurement-based quantum computation

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 strategi...

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Bibliographic Details
Published in:arXiv.org 2016-05
Main Authors: Ferrini, G, Roslund, J, Arzani, F, Cai, Y, Fabre, C, Treps, N
Format: Article
Language:English
Subjects:
Clusters
Computation
Continuity (mathematics)
Optimization
Post-processing
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1407.5318