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Hacking the Bell test using classical light in energy-time entanglement–based quantum key distribution

Overview of attention for article published in Science Advances, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
86 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
10 Google+ users
reddit
3 Redditors

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Hacking the Bell test using classical light in energy-time entanglement–based quantum key distribution
Published in
Science Advances, December 2015
DOI 10.1126/sciadv.1500793
Pubmed ID
Authors

Jonathan Jogenfors, Ashraf Mohamed Elhassan, Johan Ahrens, Mohamed Bourennane, Jan-Åke Larsson

Abstract

Photonic systems based on energy-time entanglement have been proposed to test local realism using the Bell inequality. A violation of this inequality normally also certifies security of device-independent quantum key distribution (QKD) so that an attacker cannot eavesdrop or control the system. We show how this security test can be circumvented in energy-time entangled systems when using standard avalanche photodetectors, allowing an attacker to compromise the system without leaving a trace. We reach Bell values up to 3.63 at 97.6% faked detector efficiency using tailored pulses of classical light, which exceeds even the quantum prediction. This is the first demonstration of a violation-faking source that gives both tunable violation and high faked detector efficiency. The implications are severe: the standard Clauser-Horne-Shimony-Holt inequality cannot be used to show device-independent security for energy-time entanglement setups based on Franson's configuration. However, device-independent security can be reestablished, and we conclude by listing a number of improved tests and experimental setups that would protect against all current and future attacks of this type.

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Italy 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 32%
Researcher 8 11%
Student > Master 7 10%
Student > Doctoral Student 6 8%
Professor 5 7%
Other 12 17%
Unknown 10 14%
Readers by discipline Count As %
Physics and Astronomy 44 62%
Engineering 7 10%
Computer Science 2 3%
Materials Science 2 3%
Mathematics 1 1%
Other 4 6%
Unknown 11 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 159. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2020.
All research outputs
#262,586
of 25,750,437 outputs
Outputs from Science Advances
#2,089
of 12,505 outputs
Outputs of similar age
#4,131
of 396,194 outputs
Outputs of similar age from Science Advances
#20
of 82 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.8. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.