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:Physical review. A, Atomic, molecular, and optical physics Atomic, molecular, and optical physics, 2015-03, Vol.91 (3), Article 032314
Main Authors: Ferrini, G., Roslund, J., Arzani, F., Cai, Y., Fabre, C., Treps, N.
Format: Article
Language:English
Subjects:
Physics
Quantum Physics
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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:1050-2947
1094-1622
DOI:10.1103/PhysRevA.91.032314