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NATURE PUBLISHING GROUPCitation
Pant, M., Towsley, D., Englund, D., & Guha, S. (2019). Percolation thresholds for photonic quantum computing. Nature communications, 10(1), 1070.Journal
NATURE COMMUNICATIONSRights
© The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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, lambda((n))(c). We prove a general bound lambda((n))(c) >= 1/(n - 1), and develop a conceptual method to construct long-range-connected clusters where lambda((n))(c) 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.Note
Open access journalISSN
2041-1723PubMed ID
30842425Version
Final published versionSponsors
DARPA seedling project Scalable Engineering of Quantum Optical Information Processing Architectures (SEQUOIA), under US Army [W31P4Q-15-C-0045]; Air Force Office of Scientific Research MURI [FA9550-14-1-0052]; Office of Naval Research MURI on Optical Computing under US Navy [N00014-16-C-2069]; MIT-Imperial College London Seed FundAdditional Links
https://www.nature.com/articles/s41467-019-08948-xae974a485f413a2113503eed53cd6c53
10.1038/s41467-019-08948-x
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Except where otherwise noted, this item's license is described as © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.
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