• Archer and CSIRO to collaborate on developing Quantum Machine Learning (QML) models for fraud detection in financial transactions
• QML has potential for enhanced reliability, training speed-up, and unique feature extraction capabilities
• QML applications extend beyond finance to healthcare, energy, manufacturing, autonomous vehicles, defence, cybersecurity, and AI

Archer Materials Limited (ASX: AXE), a technology company developing advanced semiconductors for quantum technology and medical diagnostics, has entered into a Research Services Agreement with the data and digital specialist arm of Australia's national science agency, CSIRO, to develop a QML system designed to detect fraud in financial transactions. The project will run from November 2025 to November 2026 and will focus on developing QML models to enhance the detection of fraudulent activities in financial transactions, with initial outcomes including prototype quantum models and performance benchmarks across simulated financial datasets. Fraudulent financial activity remains a major global challenge, costing organisations billions of dollars each year. Fraud detection requires rapid and accurate identification of anomalies such as forged signatures, unauthorised transactions, and identity manipulation. Traditional systems are often reactive, complex to maintain, and limited in their ability to detect sophisticated patterns. The collaborative project between Archer and CSIRO aims to develop new and innovative QML models which may be capable of detecting fraud in financial transactions. Once QML models are trained, the fraud detection framework will rapidly identify and flag any anomalies which arise from fraudulent activities. Hybrid quantum-classical machine learning models that adapt classical neural network architectures for quantum computing can enable applications beyond fraud detection, such as in healthcare, energy grid optimisation, manufacturing, autonomous vehicles, defence and aerospace, cybersecurity and artificial intelligence (AI).

This collaboration reinforces Archer's strategy to commercialise near-term quantum applications with global impact. Quantum Machine Learning offers a transformative way to address the critical challenge of fraud detection globally.