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Updated: Jul 24, 2025

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

A quantum computing approach for minimum loss problems in electrical distribution networks.

Filipe F C Silva^1,2,3, Pedro M S Carvalho^4,5, Luís A F M Ferreira^4,5

¹INESC-ID, Sustainable Power Systems Group, 1049-001, Lisbon, Portugal. filipefcsilva@tecnico.ulisboa.pt.

Scientific Reports

|July 4, 2023

Summary

This summary is machine-generated.

This study introduces a new quantum approach for minimizing energy loss in power distribution networks. Quantum annealing shows promise for faster, higher-quality solutions compared to classical methods.

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Area of Science:

Electrical Engineering
Quantum Computing
Optimization

Background:

Distribution networks face increasing complexity due to volatile demand from low-carbon solutions.
Minimizing energy loss is crucial for efficiency and stability in power grids.
Classical optimization methods may struggle with the speed and scale required for future network management.

Purpose of the Study:

To apply a novel quadratic unconstrained binary optimization (QUBO) formulation to the minimum loss problem in distribution networks.
To investigate the potential of quantum annealing for solving this optimization problem.
To compare the performance of a hybrid quantum-classical solver against classical solvers.

Main Methods:

Developed a novel quadratic unconstrained binary optimization (QUBO) formulation.
Utilized quantum annealing, a quantum computing paradigm, for optimization.
Employed a hybrid quantum-classical solver for a 33-node test network.

Main Results:

The proposed QUBO formulation was successfully applied to the minimum loss problem.
Results from the hybrid quantum-classical solver were compared with classical solvers.
Quantum annealing demonstrated potential for improved solution quality and reduced time-to-solution.

Conclusions:

Quantum annealing offers a promising avenue for enhancing the efficiency of distribution networks.
Continued advancements in quantum annealers and hybrid solvers are expected to yield significant advantages.
This approach supports the need for frequent network reconfigurations in response to fluctuating energy demands.