Lloyds Banking Group has completed what is believed to be the first-known experiment exploring how quantum computing could help identify money mules, marking a significant milestone in the fight against economic crime.
According to FinTech Finance, conducted in partnership with IBM over nine months, the experiment tested whether quantum algorithms could detect patterns of known money mule behaviour within a large and complex transactional graph.
Money mule networks are a key enabler of scams and fraud, with criminal activity deliberately concealed within vast webs of legitimate transactions. Traditional, classical computers struggle to analyse the sheer scale and complexity of these networks, as the number of possible patterns grows exponentially.
Quantum computers, however, use qubits — governed by the rules of quantum physics — allowing them to represent many states simultaneously and assess all potential answers to a problem at once, rather than solving each one sequentially.
The experiment used anonymised data run on one of IBM’s 156-qubit quantum computers. The team successfully identified a real money mule that had been deliberately embedded in the dataset to validate the approach, demonstrating the practical potential of quantum algorithms to tackle real-world financial crime challenges in the future.
Central to the project is Lloyds’ growing internal quantum expertise, including a newly established working group of Quantum Ambassadors drawn from across the business, with backgrounds in physics, mathematics and computer science. This team worked alongside Lloyds’ economic crime prevention specialists and IBM’s quantum experts throughout the nine-month project to explore how cutting-edge computation could one day uncover sophisticated fraud patterns that prove challenging for conventional systems to detect.
The significance of the experiment lies not only in identifying a single money mule, but in demonstrating that quantum algorithms can untangle the kind of exponentially complex transactional graphs that overwhelm current classical computing infrastructure. The findings offer an early blueprint for how financial institutions could shift from reactive monitoring to the proactive identification of sophisticated criminal networks, future-proofing their defences against increasingly network-driven financial crime.
Lloyds Banking Group chief operating officer Ron van Kemenade said, “Financial crime is becoming more complex and more network‑driven, which means we need to keep pushing the boundaries of technology to protect customers. While quantum computing is still emerging, this experiment has allowed us to translate research into practical insights, while building a strong internal community of quantum experts that will continue to explore future use cases and applications as the technology evolves.”
IBM vice president of quantum adoption and business development Scott Crowder said, “Our collaboration with Lloyds Banking Group demonstrates how forward-looking financial organizations can begin conducting meaningful quantum research. Over the past nine months, Lloyds worked alongside IBM’s quantum computing experts to test how quantum algorithms could help identify patterns within complex transaction networks and combat evolving forms of economic crime. IBM is excited to continue collaborating with financial institutions like Lloyds and further explore how quantum computing could support the future of financial services.”
The collaboration marks a crucial early investment in building the talent and infrastructure necessary to secure the future of financial services, as institutions face mounting pressure to manage ever-increasing risk management demands. As quantum technology continues to mature, experiments such as this one position banks to leverage next-generation computation well ahead of the curve.
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