Quantum Computing in the Financial Sector

Content

1 Introduction 
2 The potential impact of quantum technologies 
3 Quantum technologies in the financial sector: potential, use cases, and challenges 
4 Recommendations of the Association of German Banks

Quantum computing is regarded as a potentially groundbreaking technology whose concrete impact on the financial industry is not yet fully foreseeable. Initial research findings and pilot projects indicate that quantum algorithms could, in the long term, open up new possibilities – such as accelerating complex calculations like risk modelling, portfolio optimisation, or fraud detection. While most approaches remain in an experimental stage, early studies and tests have already demonstrated partial advantages over classical methods and delivered promising results. Nevertheless, broad practical benefits have not yet been achieved.

Before practical benefits – or scalable products – can be realised, key challenges must be overcome. These include severely limited hardware, complex integration into existing systems, and the theoretical risk of a “Q-Day,” when current encryption standards could be broken. These points underscore the need to address security aspects and technical foundations at an early stage. Against this backdrop, it is essential to closely monitor developments and establish initial prerequisites for research and infrastructure.

The Association of German Banks welcomes the European Commission’s Quantum Europe Strategy and planned Quantum Act. To ensure that Europe and its financial industry are prepared, we recommend measures to:

• Raise awareness of opportunities and risks
• Regulate in an innovation-friendly way
• Strengthen cooperation and knowledge transfer between research, start-ups, and banks
• Increase investments in infrastructure and pilot projects
• Promote development for skilled professionals and competencies

The technology is not yet market-ready, but early steps can help strengthen expertise and secure the ability to act – without underestimating existing uncertainties.