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Quantum entanglement of identical particles by standard information-theoretic notions

Overview of attention for article published in Scientific Reports, February 2016
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
7 tweeters
facebook
4 Facebook pages
googleplus
2 Google+ users
q&a
1 Q&A thread

Readers on

mendeley
40 Mendeley
Title
Quantum entanglement of identical particles by standard information-theoretic notions
Published in
Scientific Reports, February 2016
DOI 10.1038/srep20603
Pubmed ID
Authors

Rosario Lo Franco, Giuseppe Compagno

Abstract

Quantum entanglement of identical particles is essential in quantum information theory. Yet, its correct determination remains an open issue hindering the general understanding and exploitation of many-particle systems. Operator-based methods have been developed that attempt to overcome the issue. Here we introduce a state-based method which, as second quantization, does not label identical particles and presents conceptual and technical advances compared to the previous ones. It establishes the quantitative role played by arbitrary wave function overlaps, local measurements and particle nature (bosons or fermions) in assessing entanglement by notions commonly used in quantum information theory for distinguishable particles, like partial trace. Our approach furthermore shows that bringing identical particles into the same spatial location functions as an entangling gate, providing fundamental theoretical support to recent experimental observations with ultracold atoms. These results pave the way to set and interpret experiments for utilizing quantum correlations in realistic scenarios where overlap of particles can count, as in Bose-Einstein condensates, quantum dots and biological molecular aggregates.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Germany 1 3%
United Kingdom 1 3%
Italy 1 3%
Turkey 1 3%
Unknown 35 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 7 18%
Researcher 6 15%
Professor > Associate Professor 4 10%
Professor 3 8%
Other 6 15%
Unknown 2 5%
Readers by discipline Count As %
Physics and Astronomy 35 88%
Engineering 2 5%
Earth and Planetary Sciences 1 3%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 21 May 2017.
All research outputs
#210,550
of 8,003,796 outputs
Outputs from Scientific Reports
#2,394
of 32,450 outputs
Outputs of similar age
#14,024
of 332,256 outputs
Outputs of similar age from Scientific Reports
#269
of 2,959 outputs
Altmetric has tracked 8,003,796 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 92% 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 332,256 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 95% of its contemporaries.
We're also able to compare this research output to 2,959 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.