Combining quantum computing with artificial intelligence could lead to the rapid diagnosis and identification of remedies for electrical grid problems, according to Cornell University's Fengqi You and Akshay Ajagekar.
The researchers proposed a hybrid quantum-computing-based deep learning "intelligent system" design for a fault-diagnosis framework that can accurately pinpoint problems in electrical power systems.
They demonstrated the solution in a large-scale IEEE test electric grid; the hybrid approach could be scaled efficiently for quick diagnosis in larger power systems without sacrificing performance.
Ajagekar said, "Integrating quantum computing with intelligence—even though it is not yet a mature technology—will solve real problems now."
From Cornell Chronicle
View Full Article
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA