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arXiv 2005.13513quant-ph
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基于二维团簇态的连续变量量子门的结构和噪声分析

Architecture and noise analysis of continuous-variable quantum gates using two-dimensional cluster states

Mikkel V. Larsen, Jonas S. Neergaard-Nielsen, Ulrik L. Andersen

摘要:

连续变量量子光学因其独特的可扩展性,成为大规模量子计算的重要平台。特别地,可以以确定性的方式容易地生成适合于通用量子计算和量子模拟的具有二维拓扑的非常大的簇状态,并且已知经由玻色子量子纠错的容错路线。在这篇文章中,我们提出了一个完整的基于测量的量子计算架构,用于在最近生成的二维团簇态上实现一组通用的门[1,2]。我们通过估计和最小化相关的随机噪声以及由此产生的门错误概率,分析了在这些簇状态以及其他二维簇状态(双层正方形晶格和四轨晶格簇状态[3,4])中执行的各种量子门的性能。我们比较了四种不同的状态,发现,虽然它们都允许通用计算,四轨晶格簇状态比其他三个状态,都表现出类似的性能表现更好。

英文摘要:

Due to its unique scalability potential, continuous variable quantum optics is a promising platform for large scale quantum computing. In particular, very large cluster states with a two-dimensional topology that are suitable for universal quantum computing and quantum simulation can be readily generated in a deterministic manner, and routes towards fault-tolerance via bosonic quantum error-correction are known. In this article we propose a complete measurement-based quantum computing architecture for the implementation of a universal set of gates on the recently generated two-dimensional cluster states [1,2]. We analyze the performance of the various quantum gates that are executed in these cluster states as well as in other two-dimensional cluster states (the bilayer-square lattice and quad-rail lattice cluster states [3,4]) by estimating and minimizing the associated stochastic noise addition as well as the resulting gate error probability. We compare the four different states and find that, although they all allow for universal computation, the quad-rail lattice cluster state performs better than the other three states which all exhibit similar performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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