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Quantum computing in molecular magnets

Overview of attention for article published in Nature, April 2001
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
4 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
2668 Dimensions

Readers on

mendeley
774 Mendeley
connotea
1 Connotea
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Title
Quantum computing in molecular magnets
Published in
Nature, April 2001
DOI 10.1038/35071024
Pubmed ID
Authors

Michael N. Leuenberger, Daniel Loss

Abstract

Shor and Grover demonstrated that a quantum computer can outperform any classical computer in factoring numbers and in searching a database by exploiting the parallelism of quantum mechanics. Whereas Shor's algorithm requires both superposition and entanglement of a many-particle system, the superposition of single-particle quantum states is sufficient for Grover's algorithm. Recently, the latter has been successfully implemented using Rydberg atoms. Here we propose an implementation of Grover's algorithm that uses molecular magnets, which are solid-state systems with a large spin; their spin eigenstates make them natural candidates for single-particle systems. We show theoretically that molecular magnets can be used to build dense and efficient memory devices based on the Grover algorithm. In particular, one single crystal can serve as a storage unit of a dynamic random access memory device. Fast electron spin resonance pulses can be used to decode and read out stored numbers of up to 105, with access times as short as 10-10 seconds. We show that our proposal should be feasible using the molecular magnets Fe8 and Mn12.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 774 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 <1%
United States 4 <1%
France 3 <1%
United Kingdom 3 <1%
Poland 3 <1%
Australia 2 <1%
Chile 2 <1%
Canada 2 <1%
Russia 2 <1%
Other 7 <1%
Unknown 741 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 235 30%
Researcher 135 17%
Student > Master 80 10%
Student > Bachelor 79 10%
Professor > Associate Professor 42 5%
Other 107 14%
Unknown 96 12%
Readers by discipline Count As %
Chemistry 304 39%
Physics and Astronomy 241 31%
Materials Science 44 6%
Engineering 21 3%
Computer Science 21 3%
Other 28 4%
Unknown 115 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 July 2023.
All research outputs
#2,634,034
of 26,017,215 outputs
Outputs from Nature
#47,673
of 99,074 outputs
Outputs of similar age
#2,485
of 44,901 outputs
Outputs of similar age from Nature
#112
of 402 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has gotten more attention than average, scoring higher than 51% 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 44,901 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 93% of its contemporaries.
We're also able to compare this research output to 402 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.