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光子量子计算的渗流阈值。

Percolation thresholds for photonic quantum computing.

机构信息

Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, 02139, USA.

Quantum Information Processing group, Raytheon BBN Technologies, 10 Moulton Street, Cambridge, MA, 02138, USA.

出版信息

Nat Commun. 2019 Mar 6;10(1):1070. doi: 10.1038/s41467-019-08948-x.

DOI:10.1038/s41467-019-08948-x
PMID:30842425
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6403388/
Abstract

Despite linear-optical fusion (Bell measurement) being probabilistic, photonic cluster states for universal quantum computation can be prepared without feed-forward by fusing small n-photon entangled clusters, if the success probability of each fusion attempt is above a threshold, [Formula: see text]. We prove a general bound [Formula: see text], and develop a conceptual method to construct long-range-connected clusters where [Formula: see text] becomes the bond percolation threshold of a logical graph. This mapping lets us find constructions that require lower fusion success probabilities than currently known, and settle a heretofore open question by showing that a universal cluster state can be created by fusing 3-photon clusters over a 2D lattice with a fusion success probability that is achievable with linear optics and single photons, making this attractive for integrated-photonic realizations.

摘要

尽管线性光学融合(贝尔测量)是概率性的,但如果每次融合尝试的成功率高于某个阈值,[公式:见正文],那么通过融合小的 n 光子纠缠簇,可以在没有前馈的情况下制备用于通用量子计算的光子簇态。我们证明了一个通用的边界[公式:见正文],并开发了一种概念方法来构建长程连接的簇,其中[公式:见正文]成为逻辑图的键渗流阈值。这种映射让我们找到了所需融合成功率低于现有技术的构建方法,并通过证明通过融合具有线性光学和单光子可实现的融合成功率的 2D 格点上的 3 光子簇,可以创建通用的簇态,从而解决了一个长期存在的开放性问题,这使得这种方法在集成光子学实现方面具有吸引力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/ae1f689de2cf/41467_2019_8948_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/d3da101909d0/41467_2019_8948_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/b6a553d058d6/41467_2019_8948_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/e9d7a531b985/41467_2019_8948_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/7576a8ab3e34/41467_2019_8948_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/adedc8761915/41467_2019_8948_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/1560cf3df9a4/41467_2019_8948_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/132c8647974b/41467_2019_8948_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/1548302badba/41467_2019_8948_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/ae1f689de2cf/41467_2019_8948_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/d3da101909d0/41467_2019_8948_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/b6a553d058d6/41467_2019_8948_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/e9d7a531b985/41467_2019_8948_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/7576a8ab3e34/41467_2019_8948_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/adedc8761915/41467_2019_8948_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/1560cf3df9a4/41467_2019_8948_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/132c8647974b/41467_2019_8948_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/1548302badba/41467_2019_8948_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f72/6403388/ae1f689de2cf/41467_2019_8948_Fig9_HTML.jpg

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