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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Path Percolation in Quantum Communication Networks.

Xiangyi Meng1,2,3, Bingjie Hao3, Balázs Ráth4,5,6

  • 1Rensselaer Polytechnic Institute, Department of Physics, Applied Physics, and Astronomy, Troy, New York 12180, USA.

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Summary
This summary is machine-generated.

Quantum communication networks face disruption as each communication event removes links. This study introduces "path percolation," a model where network resilience depends on link replenishment rates, not initial topology.

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Area of Science:

  • Quantum Information Science
  • Network Science
  • Statistical Physics

Background:

  • Quantum communication networks utilize entanglement between qubits at distinct nodes.
  • Routing protocols enable communication between non-adjacent nodes, but quantum events disrupt network links.

Purpose of the Study:

  • To introduce and analyze a novel model of quantum network disruption called "path percolation."
  • To investigate the impact of communication events on network topology and stability.

Main Methods:

  • Numerical simulations and analytical methods were employed to study path percolation.
  • The study analyzed the phase diagram of network steady states based on link addition rates.

Main Results:

  • Path percolation models correlated link removal during communication events.
  • The steady state of the network becomes independent of initial topology when new links are added randomly between disconnected components.

Conclusions:

  • The dynamics of quantum networks are significantly influenced by the correlated removal of entangled links.
  • Network resilience can be understood through the lens of percolation theory, with potential for designing more robust quantum communication systems.