Silicon Quantum Computing and Schneider Electric Advance Energy Grid Forecasting via Watermelon Quantum-Enhanced AI System
Silicon Quantum Computing and Schneider Electric advanced to Stage 2 of the Australian Government’s Critical Technologies Challenge Program, securing A$3.6 million. They are deploying hybrid quantum-classical machine learning models on SQC’s Watermelon™ system to improve energy grid forecasting. The models have shown an average 20% accuracy improvement in tests, with larger gains at peak demand.
OutlookPlausible
If the accuracy gains hold on live utility data, SQC’s spin-qubit hardware could move from pilot trials into a limited production forecasting workflow inside Schneider Electric’s grid management software within two years.