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Optimally combining dynamical decoupling and quantum error correction

Overview of attention for article published in Scientific Reports, April 2013
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3 X users
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1 Facebook page

Citations

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27 Dimensions

Readers on

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34 Mendeley
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Title
Optimally combining dynamical decoupling and quantum error correction
Published in
Scientific Reports, April 2013
DOI 10.1038/srep01530
Pubmed ID
Authors

Gerardo A. Paz-Silva, D. A. Lidar

Abstract

Quantum control and fault-tolerant quantum computing (FTQC) are two of the cornerstones on which the hope of realizing a large-scale quantum computer is pinned, yet only preliminary steps have been taken towards formalizing the interplay between them. Here we explore this interplay using the powerful strategy of dynamical decoupling (DD), and show how it can be seamlessly and optimally integrated with FTQC. To this end we show how to find the optimal decoupling generator set (DGS) for various subspaces relevant to FTQC, and how to simultaneously decouple them. We focus on stabilizer codes, which represent the largest contribution to the size of the DGS, showing that the intuitive choice comprising the stabilizers and logical operators of the code is in fact optimal, i.e., minimizes a natural cost function associated with the length of DD sequences. Our work brings hybrid DD-FTQC schemes, and their potentially considerable advantages, closer to realization.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 35%
Student > Master 5 15%
Researcher 5 15%
Student > Bachelor 3 9%
Professor > Associate Professor 2 6%
Other 4 12%
Unknown 3 9%
Readers by discipline Count As %
Physics and Astronomy 22 65%
Engineering 3 9%
Medicine and Dentistry 2 6%
Computer Science 1 3%
Chemical Engineering 1 3%
Other 1 3%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 April 2013.
All research outputs
#13,264,802
of 22,668,244 outputs
Outputs from Scientific Reports
#59,560
of 122,118 outputs
Outputs of similar age
#106,091
of 199,887 outputs
Outputs of similar age from Scientific Reports
#276
of 469 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 122,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. 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 199,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 469 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.