Archer Teams with CSIRO to Develop Quantum Models Targeting $Billions in Fraud

Quantum Leap in Fraud Detection

Archer Materials, a leader in quantum technology development, has announced a strategic collaboration with CSIRO, Australia's premier national science agency, to develop quantum machine learning (QML) models designed to detect fraud in financial transactions. This partnership, commencing in November 2025 and running through to November 2026, marks a significant step in applying quantum computing advances to real-world financial challenges.

Financial fraud remains a persistent and costly problem globally, with traditional detection systems often struggling to keep pace with increasingly sophisticated fraudulent schemes. Archer and CSIRO aim to leverage the unique capabilities of QML, such as enhanced reliability, faster training times, and superior feature extraction, to create models that can identify anomalies like forged signatures and unauthorized transactions more effectively and proactively.

Building on Expertise and Innovation

The collaboration will build upon CSIRO’s established expertise in quantum machine learning, focusing on developing prototype quantum models and benchmarking their performance against simulated financial datasets. By integrating hybrid quantum-classical neural network architectures, the project seeks to push the boundaries of what current fraud detection systems can achieve, potentially setting new industry standards.

Simon Ruffel, CEO of Archer Materials, highlighted the strategic importance of this partnership, stating that it not only addresses a critical global challenge but also significantly expands Archer’s intellectual property portfolio in quantum technologies. The company’s carbon-based semiconductor platform is well-positioned to support scalable quantum applications, reinforcing its ambition to commercialize near-term quantum solutions with worldwide impact.

Beyond Finance, A Quantum Future

While the immediate focus is on financial fraud detection, the implications of this research extend far beyond. Quantum machine learning models developed through this initiative could find applications in diverse sectors such as healthcare diagnostics, energy grid optimisation, autonomous vehicles, defence, aerospace, cybersecurity, and artificial intelligence. This broad potential underscores the transformative power of quantum technologies across multiple industries.

As Archer and CSIRO embark on this ambitious project, the market will be watching closely to see how quantum computing can tangibly improve fraud detection capabilities and whether these advances can be translated into commercial success. The coming year promises to be pivotal in demonstrating the practical benefits of quantum machine learning in a high-stakes environment.