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SQC Secures AU$3.6M for Quantum AI Energy Forecasting Project

SQC Secures AU$3.6M for Quantum AI Energy Forecasting Project

First seen 6 Oct 2026, 11:26 UTC • •

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ThreatCluster AI
ThreatCluster •October 6, 2026 at 22:57 UTC
  • •SQC and Schneider Electric received AU$3.6 million for a quantum AI energy project.
  • •The Watermelon chip aims to improve energy forecasting accuracy by 20% using quantum-enhanced AI.
  • •The project will expand modeling to hundreds of homes, integrating with existing AI workflows.

Silicon Quantum Computing (SQC) and Schneider Electric have received AU$3.6 million to enhance energy forecasting using a quantum-enhanced AI chip named Watermelon. This funding, part of the Critical Technologies Challenge Program, aims to improve forecasting accuracy by 20% for energy consumption in Australian households. The project will integrate quantum features with classical data to better manage the complexities of energy systems, particularly as renewable energy sources like solar power and electric vehicles become more prevalent. Initial tests showed a 20% improvement in forecasting accuracy, with potential gains reaching 41%. The funding will allow the expansion of modeling to hundreds of homes across Australia, directly integrating into Schneider Electric's AI workflows. The initiative is expected to contribute to lower energy costs for consumers and enhance grid resilience.

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Timeline

2026-10-05
SQC's funding announcement
SQC was highlighted as the largest recipient of quantum grants, receiving AU$3.6 million to improve energy forecasting.
Startupdaily
2026-10-06
Funding awarded for quantum AI project
SQC and Schneider Electric secured AU$3.6 million to enhance energy forecasting with quantum AI technology.
Enlit.World

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Common questions

What is the Watermelon chip?
The Watermelon chip is a quantum-enhanced AI processor designed to improve energy forecasting accuracy by generating quantum features from classical data.
How much funding did SQC receive?
SQC received AU$3.6 million as part of the Critical Technologies Challenge Program to enhance its energy forecasting project.
What are the expected benefits of this project?
The project aims to improve energy forecasting accuracy, lower energy costs for consumers, and enhance grid resilience as renewable energy sources become more prevalent.