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Flinders University has secured $1.45 million in funding from the Australian Government's Critical Technologies Challenge Program to develop a quantum computing-based demonstrator for remote community energy systems. The project, led by Professor Apel Mahmud, will use quantum optimization and machine learning to enhance energy sustainability and reliability, particularly for First Nations communities.

Collaborating with EfficientSee and Zeco Australian Energy Solutions, the team will create a digital twin of remote energy systems and a working prototype. This initiative aims to address the complex challenges of electricity supply in remote areas and improve energy autonomy while reducing emissions compared to diesel generators. The project is part of a wider effort to optimize energy networks in Australia and support industries with greater computational power at lower energy costs.