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Quantum Technology and Optimization Problems

Overview of attention for book
Cover of 'Quantum Technology and Optimization Problems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Quantum Computing and Its Application
  3. Altmetric Badge
    Chapter 2 Embedding Inequality Constraints for Quantum Annealing Optimization
  4. Altmetric Badge
    Chapter 3 Assessing Solution Quality of 3SAT on a Quantum Annealing Platform
  5. Altmetric Badge
    Chapter 4 Principles and Guidelines for Quantum Performance Analysis
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    Chapter 5 Nash Embedding and Equilibrium in Pure Quantum States
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    Chapter 6 A Quantum Algorithm for Minimising the Effective Graph Resistance upon Edge Addition
  8. Altmetric Badge
    Chapter 7 Variational Quantum Factoring
  9. Altmetric Badge
    Chapter 8 Function Maximization with Dynamic Quantum Search
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    Chapter 9 Flight Gate Assignment with a Quantum Annealer
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    Chapter 10 Solving Quantum Chemistry Problems with a D-Wave Quantum Annealer
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    Chapter 11 Solving Large Maximum Clique Problems on a Quantum Annealer
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    Chapter 12 Quantum Annealing Based Optimization of Robotic Movement in Manufacturing
  14. Altmetric Badge
    Chapter 13 Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity
  15. Altmetric Badge
    Chapter 14 Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning
  16. Altmetric Badge
    Chapter 15 Quantum Photonic TRNG with Dual Extractor
  17. Altmetric Badge
    Chapter 16 Secure Quantum Data Communications Using Classical Keying Material
  18. Altmetric Badge
    Chapter 17 Continuous-Variable Quantum Network Coding Against Pollution Attacks
  19. Altmetric Badge
    Chapter 18 On the Influence of Initial Qubit Placement During NISQ Circuit Compilation
  20. Altmetric Badge
    Chapter 19 Towards a Pattern Language for Quantum Algorithms
Attention for Chapter 5: Nash Embedding and Equilibrium in Pure Quantum States
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Nash Embedding and Equilibrium in Pure Quantum States
Chapter number 5
Book title
Quantum Technology and Optimization Problems
Published in
arXiv, March 2019
DOI 10.1007/978-3-030-14082-3_5
Book ISBNs
978-3-03-014081-6, 978-3-03-014082-3
Authors

Faisal Shah Khan, Travis S. Humble, Khan, Faisal Shah, Humble, Travis S.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Other 1 10%
Professor 1 10%
Student > Master 1 10%
Student > Ph. D. Student 1 10%
Other 2 20%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 3 30%
Physics and Astronomy 3 30%
Mathematics 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Energy 1 10%
Other 0 0%
Unknown 1 10%
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 09 October 2022.
All research outputs
#8,108,787
of 24,329,306 outputs
Outputs from arXiv
#181,278
of 1,033,314 outputs
Outputs of similar age
#155,932
of 384,735 outputs
Outputs of similar age from arXiv
#5,364
of 26,288 outputs
Altmetric has tracked 24,329,306 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,033,314 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 384,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 26,288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.