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Quantum Optimization
Quantum Simulation
Quantum Algorithms for Optimal Power Flow
arXiv
Authors: Sajad Fathi Hafshejani, Md Mohsin Uddin, David Neufeld, Daya Gaur, Robert Benkoczi
Year
2024
Paper ID
6244
Status
Preprint
Abstract Read
~2 min
Abstract Words
75
Citations
N/A
Abstract
This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effectiveness of these quantum algorithms in comparison to classical methods. The simulation results presented here which substantially improve the results in [1] indicate that quantum approaches yield similar solutions and optimal costs compared to classical methods, suggesting the potential use case of quantum computing for power system optimization.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids.
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