The UK’s Financial Conduct Authority (FCA) is exploring quantum computing as a new tool against financial crime. The move signals a fresh approach to tackling money laundering, banking fraud and increasingly sophisticated financial threats.
The regulator has announced the Quantum Experimentation Group (QEG), which brings together financial institutions, quantum technology providers and national research laboratories. Due to launch in the first quarter of 2027, the group will look for practical uses of quantum technology in financial services.
Its first focus will be quantum machine learning (QML): spotting suspicious transactions, uncovering hidden fraud patterns and strengthening anti-money laundering systems. Quantum techniques could eventually analyse complex relationships across vast transaction networks in ways conventional systems struggle to match.
To get around restrictions on using real data, the FCA will give participants synthetic datasets. These allow controlled experiments without exposing any real customer information. Researchers will then compare quantum methods against conventional computing to measure whether they actually perform better.
Jessica Rusu, the FCA’s Chief Data, Information and Intelligence Officer, stressed the value of experimenting early to find where quantum technology can make a real difference. The programme will also help the regulator understand the technology’s limits, its operational challenges and what it may mean for future regulation.
British banks are already moving in the same direction. NatWest has joined quantum research focused on financial crime, and Lloyds Banking Group has worked with IBM on using quantum computing to detect money mule accounts, a growing problem across global banking networks.
Caution is still needed. Quantum computing is an emerging technology with real limits in hardware reliability, scalability and cost, and it has not yet broadly outperformed established fraud detection systems. Banks must balance experimentation with cyber resilience and preparation for post-quantum cryptography.
The initiative holds a clear lesson for India. As UPI payments, synthetic identity fraud and money mule networks grow, quantum-assisted analytics could one day support AI-driven fraud detection. The bigger opportunity lies in combining advanced computing, behavioural intelligence, secure digital identities and close cooperation with regulators to build a more resilient financial system.
