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Lloyds bank quantum computing trials successfully detect money mules

If quantum tools mature, banks could detect financial crime patterns that defeat today's classical systems.

Key takeaways

  • The algorithms, which ran on one of IBM’s 156-qubit quantum computers, successfully identified a money mule — a bank account used to transfer stolen money — which had been deliberately placed within the data.
  • According to Oxford Economics, quantum technology could add up to £212 billion to Britain’s GDP by 2045.
  • Last month the government announced £2 billion in funding for quantum, including a £1 billion procurement programme to encourage early adoption, in an attempt to roll out large-scale computers by the early 2030s.
Cite or link to this article

Griffin, M. (2026) 'Lloyds bank quantum computing trials successfully detect money mules', 311 Institute, 3 May. Available at: https://www.311institute.com/lloyds-bank-quantum-computing-trials-successfully-detect-money-mules/ (Accessed: 1 October 2026).

Lloyds Bank has been experimenting with quantum computing to improve financial crime prevention, in an early test of whether the technology can deliver practical benefits for banks. The bank tested whether quantum algorithms could spot money mule behaviour within a large collection of transactions, a task that traditional computers tend to struggle with due to the complexity of detecting subtle patterns within large-scale transaction data.

The algorithms, which ran on one of IBM’s 156-qubit quantum computers, successfully identified a money mule — a bank account used to transfer stolen money — which had been deliberately placed within the data.

“While quantum computing is still emerging, this experiment has allowed us to translate research into practical insights,” Ron van Kemenade, chief operating officer at Lloyds Banking Group, said.

Quantum computing is a rapidly growing area of innovation. Researchers hope that it will be able to perform a number of tasks — such as cryptography and drug discovery — far more efficiently than classical computers.

Whereas traditional computers process information as binary bits, either 0 or 1, the quantum equivalent — the qubit — can be both 0 and 1 at the same time, enabling the computer to explore multiple options simultaneously.

Qubits can also become “entangled” with one another, which means different ones become very tightly correlated. When this happens, the measurement of one qubit can instantly reveal information about the other qubits with which it is entangled, allowing quantum computers to represent and manipulate complex relationships across many variables at once.

Many existing models are prohibitively expensive, error-prone and highly sensitive to broader environmental factors, making them extremely challenging to build and scale, but the technology is seen as a huge potential growth area. According to Oxford Economics, quantum technology could add up to £212 billion to Britain’s GDP by 2045.

Last month the government announced £2 billion in funding for quantum, including a £1 billion procurement programme to encourage early adoption, in an attempt to roll out large-scale computers by the early 2030s.

Lloyds’ research was conducted over a nine-month period, bringing together a group of “quantum ambassadors” from across the business.

Scott Crowder, vice-president of IBM quantum adoption and business development, said: “Our collaboration with Lloyds Banking Group demonstrates how forward-looking financial organisations can begin conducting meaningful quantum research.”

Last year HSBC used quantum computing to solve challenges in algorithmic bond trading.


FAQ

Is quantum computing ready to fight financial crime today?

Not in production, the trial proves the concept on a planted case, but reliable, large-scale quantum fraud detection still depends on hardware that is years from maturity.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Source: first published by the 311 Institute on 3 May 2026. Cite as: Griffin, M. (2026). Lloyds bank quantum computing trials successfully detect money mules. 311 Institute. https://www.311institute.com/lloyds-bank-quantum-computing-trials-successfully-detect-money-mules/

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