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Related Concept Videos

Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Updated: Jun 27, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Concurrence Percolation Behavior in Diluted Quantum Networks.

Gaogao Dong1, Yili Shen1, Xinqi Hu1

  • 1School of Mathematical Sciences, Jiangsu University, Zhenjiang 212013, China.

Entropy (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Quantum networks show enhanced robustness against degradation due to multipath entanglement. This quantum percolation effect lowers critical thresholds compared to classical networks, highlighting network resilience.

Keywords:
concurrence percolation theorydilutedhierarchical scale-freerobustness

Related Experiment Videos

Last Updated: Jun 27, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Quantum Information Science
  • Network Science
  • Statistical Physics

Background:

  • Understanding quantum network connectivity under decoherence and link degradation is crucial.
  • Structural network degradation impacts quantum information flow.
  • Hierarchical scale-free networks offer unique properties for robust communication.

Purpose of the Study:

  • To investigate connectivity transitions in diluted hierarchical scale-free quantum networks.
  • To analyze the impact of decoherence and link degradation on quantum network performance.
  • To compare quantum percolation with classical percolation in networks.

Main Methods:

  • Diluting network links with probability (1-f).
  • Analyzing (u,v) flower networks with adjustable path-length parameters.
  • Employing quantum concurrence percolation and comparing with classical percolation.
  • Utilizing analytical, numerical, and simulation approaches.

Main Results:

  • Quantum percolation consistently shows lower critical thresholds than classical percolation.
  • Lower thresholds persist across various network topologies and dilution levels.
  • The (u,v) flower network model allows for analytical tractability.

Conclusions:

  • Quantum multipath entanglement intrinsically compensates for structural degradation.
  • Hierarchical scale-free topology enhances failure resistance and robustness in quantum networks.
  • Quantum networks exhibit superior resilience compared to classical networks under degradation.