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Cited by 357

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Quantum computing with continuous-variable clusters

Open access
Gu, Mile, Weedbrook, Christian, Menicucci, Nicolas C., Ralph, Timothy C., van Loock, Peter·2009·Physical Review A

Abstract

Continuous-variable cluster states offer a potentially promising method of implementing a quantum computer. This paper extends and further refines theoretical foundations and protocols for experimental implementation. We give a cluster-state implementation of the cubic phase gate through photon detection, which, together with homodyne detection, facilitates universal quantum computation. In addition, we characterize the offline squeezed resources required to generate an arbitrary graph state through passive linear optics. Most significantly, we prove that there are universal states for which the offline squeezing per mode does not increase with the size of the cluster. Simple representations of continuous-variable graph states are introduced to analyze graph state transformations under measurement and the existence of universal continuous-variable resource states.

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Crossref · 10.1103/physreva.79.062318

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Metadata

Authors
Gu, M., Weedbrook, C., Menicucci, N. C., Ralph, T. C., & van Loock, P.
Venue
Physical Review A
Published
2009-06-17
Volume
79
Issue
6
ISSN
  • 0556-2791 (ISSN-L)
  • 1050-2947
  • 1094-1622
OpenAlex
W2086446727
Cited by
357
References
9
FWCI
16.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quantum computing with continuous-variable clusters. https://app.cochat.ai/papers/10.1103/physreva.79.062318
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Gu, M., Weedbrook, C., Menicucci, N. C., Ralph, T. C., & van Loock, P. (2009). Quantum computing with continuous-variable clusters. Physical Review A. https://doi.org/10.1103/physreva.79.062318

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.