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Updated: Jan 22, 2026

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

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

Published on: September 8, 2023

Noncooperative Quantum Networks.

Yanxuan Shao^1,2, Jannik L Wyss^1,2,3, Don Towsley⁴

¹Northwestern University, Department of Physics and Astronomy, Evanston, Illinois 60208, USA.

Physical Review Letters

|January 20, 2026

Summary

This summary is machine-generated.

Adding more entanglement to quantum networks can decrease fidelity in noncooperative protocols. This quantum selfish routing effect hinders optimal resource use in large-scale quantum communication.

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Area of Science:

Quantum communication
Quantum information science
Network protocols

Background:

Current quantum communication protocols rely on pre-allocated entanglement resources.
High-fidelity entanglement between distant parties is established via local operations and classical communication.
It is generally assumed that network fidelity increases with the entanglement budget.

Purpose of the Study:

To investigate the relationship between entanglement budget and fidelity in noncooperative quantum communication protocols.
To identify potential obstacles to resource optimization in large quantum networks.

Main Methods:

Analysis of noncooperative protocols in quantum networks.
Exploration of scenarios involving nonpure states and varying entanglement allocations.
Identification of a quantum analog to selfish routing.

Main Results:

Demonstration that fidelity can decrease as entanglement resources increase in noncooperative protocols with nonpure states.
Identification of a quantum effect analogous to selfish routing.
This effect poses a challenge to the efficient utilization of resources in quantum networks.

Conclusions:

The monotonic increase of fidelity with entanglement budget is not universally true for noncooperative quantum protocols.
Quantum selfish routing can negatively impact entanglement fidelity.
This finding presents a significant obstacle for optimizing resource allocation in large quantum networks.