How Jyske Bank Adopted Quantum-Optimised Trading
Financial traders make high-stakes decisions in seconds. The difference between profit and loss often comes down to two things: speed and precision. Yet for decades, banks have relied on the same approximate methods to assess risk and predict price movements.
Through a close, multi-year collaboration with Jyske Bank, Qpurpose developed Qpurpose Price Predator—a quantum-inspired solution fully integrated into the bank’s IT systems.
Today, traders use it across approximately 300 equity classes, where it delivers near-term price predictions and decision support for live trade execution.
The Problem
Monte Carlo simulation has long been the standard for modelling financial instruments. It works, but it’s computationally heavy and imprecise when markets move fast. Traders need better tools to stay ahead, especially when every basis point matters.
A Faster, More Precise Approach
Working with researchers at the Centre for Quantum Mathematics at University of Southern Denmark, we built an alternative based on Gaussian Boson Sampling. Unlike Monte Carlo, which relies on random sampling, this method draws from quantum probability theory to evaluate financial integrals with far greater efficiency.
The results:
- 5x improvement in accuracy: ~2 basis points deviation vs. ~10 for conventional approaches
- Validated at scale: Deployed across 300 equities in real trading environments
- Operational robustness: Stable performance over several months with zero downtime
Built for Today, Ready for Tomorrow
The algorithms run on classical high-performance computers, emulating quantum processes. This means banks can start benefiting immediately, without waiting for fault-tolerant quantum hardware. When that hardware arrives, the same code will transition seamlessly.
“When you trade, it’s about making decisions in the moment - not 10 minutes too late. With Qpurpose, we gain real-time insights where quantum algorithms outperform traditional models by a factor of five. It gives our traders a unique tool to support decision-making and gain a competitive edge over competitors.”
- Morten Byrdal, Director, Head of Trading Cross Asset (Jyske Bank)
Beyond Trading
While our initial focus is on trading desks, the same principles apply wherever risk and probability intersect. Energy traders pricing in volatile markets, pension funds stress-testing portfolios, and insurers modelling long-tail liabilities can all gain from this approach.
Next Steps
We are continuing to expand the system, refining hedging strategies as we go. But the bigger opportunity is for the industry at large.
There is a chance to move beyond the limitations of classical methods and adopt tools that are simply better at the job. The shift to quantum-optimised trading isn’t a future promise. It’s happening now and it’s delivering measurable value in live markets.
