Case Study: E.ON achieves better energy pricing insights with IBM Quantum

E.ON uses quantum computing to help tackle complexity

E.ON, one of Europe’s largest energy companies, needed a better way to manage the growing complexity of a more dynamic power grid, especially for pricing and hedging energy derivatives amid volatile weather, shifting demand, and renewable supply. To address this challenge, E.ON partnered with IBM Quantum and used IBM Qiskit to explore quantum computing as a way to tackle problems that were pushing classical supercomputers to their limits.

IBM helped E.ON develop an algorithm for managing weather risk and energy pricing that could outperform classical methods on a sufficiently advanced quantum computer. By using Qiskit dynamic circuits, the team was able to run the approach on IBM Quantum hardware and prove the concept on a 27-qubit system, advancing E.ON toward utility-scale quantum work and potential future business advantages in energy pricing.

E.ON

Piergiacomo Sabino

Quantitative Risk Expert