How close is quantum computing to transforming financial services?

For years, quantum computing existed mostly in theory, academic debate, and distant promises. Even seasoned physicists believed it would be decades before its practical use. Fast forward to today, and we’re seeing quantum computing deliver value in targeted areas of financial services.

This shift doesn’t mean quantum computers will replace existing systems. Instead, it marks the start of a hybrid era, where quantum-inspired and quantum-enabled approaches start to complement high-performance computing (HPC), AI, and classical models already used by banks. 

So, what has changed, and why should banks start paying attention now? 

Top five strategies to prepare your bank for quantum computing 

Quantum computing is advancing rapidly, but its strength lies in selective, well-scoped applications, not full replacement. Here are five ways banks can prepare: 

1. Target hybrid quantum-classical workflows: Combine quantum and classical computing where it adds value. Focus on specific tasks, such as feature extraction or optimisation, while keeping the broader workflow classical. 
2. Use real operational data, not toy models: Early experiments relied on simplified scenarios. Today, meaningful progress comes from applying quantum methods to real market data and realistic problem sizes. 
3. Develop internal literacy before internal teams: It’s still too early for most banks to build in-house quantum research teams. A better step is developing an internal understanding of how quantum systems work, where they add value, and where they do not. 
4. Simulate quantum advantages on current infrastructure: Some quantum advantages can already be simulated on existing HPC clusters, offering near-term performance improvements while preparing teams for future hardware. 
5. Treat early wins as signals, not guarantees: Improved predictions or trading accuracy are encouraging but not universal. Banks should view these results as indicators of potential, not proof of readiness for wide-scale deployment. 

Quantum computing isn’t just a future concept. Its value today lies in targeted applications that complement existing systems. Banks that experiment with hybrid models, leverage real data, and build internal expertise will be best positioned as quantum capabilities mature. The quantum era won’t arrive overnight, but preparation needs to start now. 

A special thank you to Daniel Ebler , Principal Researcher at Huawei , for sharing his valuable insights in one of our podcast episodes. Listen to the full episode for a deeper dive into the topic. 

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PULSE Check Podcast

Are banks ready for quantum computing? Daniel Ebler , Principal Researcher at Huawei, joins Salomon Wettstein to explain how quantum systems differ from conventional computing, what exponential scaling means, and how banks can prepare strategically. 

From the fundamentals of qubits to identifying entry points for financial applications, this episode explores the opportunities and realities of quantum computing in the industry today. 

Tune in for an engaging conversation filled with valuable perspectives and practical advice! 

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