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Practical challenges in quantum key distribution

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Diamanti, Eleni, Lo, Hoi-Kwong, Qi, Bing, Yuan, Zhiliang·2016·npj Quantum Information

Abstract

Quantum key distribution (QKD) promises unconditional security in data communication and is currently being deployed in commercial applications. Nonetheless, before QKD can be widely adopted, it faces a number of important challenges such as secret key rate, distance, size, cost and practical security. Here, we survey those key challenges and the approaches that are currently being taken to address them.

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Cited by

See all 737

Metadata

Authors
Diamanti, E., Lo, H.-K., Qi, B., & Yuan, Z.
Venue
npj Quantum Information
Published
2016-11-08
Volume
2
Issue
1
ISSN
2056-6387 (ISSN-L)
OpenAlex
W2473315843
Cited by
737
References
16
FWCI
35.96
Type
journal article
Language
en
Open access
gold
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Practical challenges in quantum key distribution. https://app.cochat.ai/papers/10.1038/npjqi.2016.25
The paper
Diamanti, E., Lo, H.-K., Qi, B., & Yuan, Z. (2016). Practical challenges in quantum key distribution. npj Quantum Information. https://doi.org/10.1038/npjqi.2016.25

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.