WHY THIS MATTERS IN BRIEF
If quantum tools mature, banks could detect financial crime patterns that defeat today's classical systems.
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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.
The Future of Bank Fraud and Synthetic AI | Matthew Griffin with Mitek, by Futurist Keynote Speaker Matthew Griffin
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.
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.
