Lloyds & IBM’s Quantum Computing Bet to Detect Money Mules

The future of securing the BSFI sector against financial crime could lie in quantum computing. 

A nine-month experiment by Lloyds Banking Group and IBM that could signal a transformative shift in how financial institutions detect and defend against sophisticated money laundering networks, has officially come to an end.

It comprised of one of the largest quantum computing trials ever conducted on real quantum hardware, focused on identifying money mule activity through advanced graph analytics.

By the trial’s conclusion, the team successfully detected a real-world money mule deliberately embedded within anonymised data, demonstrating that quantum systems could handle the intricate networks characteristic of contemporary financial crime.

The breakthrough could offer new capabilities for threat detection in an environment where criminals continually evolve their tactics to evade traditional security measures.

Understanding the quantum advantage

The technology underpinning this security innovation operates fundamentally differently from conventional computing systems.

Classical computers process information using binary bits that exist in either an on (1) or off (0) state, testing each possible solution sequentially when confronting complex problems.

Quantum computers utilise qubits, which can exist simultaneously in states of 1, 0 or both.

This quantum superposition enables these systems to explore multiple solution paths concurrently rather than individually, accelerating the identification of threats hidden within vast datasets.

For cybersecurity applications, this could mean the difference between detecting a sophisticated attack in real-time versus discovering a breach weeks after criminals have already extracted valuable data or laundered illicit funds.

Detecting money mule networks

Money mules represent a critical vulnerability in financial security infrastructure.

Lloyds Banking Group defines them as individuals who allow criminals to use their bank accounts to transfer money, effectively helping transform proceeds from criminal activity into apparently legitimate funds.

Threat actors obscure this activity by constructing elaborate networks of transactions spanning thousands of accounts.

For conventional computing systems, analysing these networks presents a significant computational challenge, as the number of potential connections increases exponentially, creating detection problems too complex for current security systems to efficiently resolve.

“Economic crime prevention, particularly the detection of mule accounts, requires analysing highly complex networks of financial transactions,” Jamie Harbour, Enterprise Architect for Emerging Technology and Innovation and Adam Milner, Lead Quantum Ambassador, write in a Lloyds Banking Group article on ‘Exploring quantum computing at Lloyds Banking Group’.

“These can be represented as graphs of customers, accounts and payments, where suspicious activity often hides in subtle network structures.

“Traditional computers struggle with certain classes of graph problems because the number of possible solutions grows exponentially with problem size, making them among the most challenging problems to solve using classical computation.”

Jamie and Adam explain that quantum computing could potentially mitigate these limitations by exploring vast solution spaces more efficiently than classical hardware.

Importantly, the experiment did not aim to replace existing machine learning models currently deployed in fraud prevention systems.

Instead, it explored whether quantum-enhanced techniques could eventually generate more sophisticated graph-based features supporting future security models – features potentially too complex or computationally expensive to generate using classical methods.

Complementing existing security technologies

The results suggest quantum computing shouldn't be viewed as a replacement for existing tools like AI.

According to Jamie and Adam, selected quantum algorithms demonstrate “long-term promise”, particularly by “complementing machine learning by generating new types of features or enabling deeper network analysis”.

While AI excels at identifying patterns within previously observed data, quantum computing could generate more sophisticated analytical features to support future threat detection models – capabilities that might prove prohibitively complex or expensive using conventional computation methods.

The integration of quantum capabilities with existing AI-driven security infrastructure could create a more robust defence ecosystem.

Building quantum readiness

Beyond technical achievements, the project has strengthened Lloyds Banking Group’s quantum readiness, developing internal expertise, strategic partnerships and a clearer innovation roadmap for future security applications.

Lloyds has established a Quantum Ambassador Programme, comprising internal specialists with backgrounds in physics and mathematics who are now “responsible for deepening expertise” and “helping to grow a thriving internal quantum community”.

“Financial crime is becoming more complex and more network‑driven, which means we need to keep pushing the boundaries of technology to protect customers,” says Ron van Kemenade, Chief Operating Officer (COO) at Lloyds Banking Group.

“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.”

Though quantum technology remains in early development stages, this nine-month collaboration with IBM demonstrates that foundational capabilities are being established.

By preparing their workforce with skills needed for future adoption, Lloyds Banking Group is positioning itself to deploy quantum-enhanced defences as the technology matures.

Scott Crowder, Vice President of IBM Quantum Adoption and Business Development, says: “Our collaboration with Lloyds Banking Group demonstrates how forward-looking financial organisations 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.”