Alliander & QAL Explore Quantum Applications for the Energy Grid
Dutch energy distribution system operator Alliander is facing a major challenge: in the next decade, it must expand its grid capacity by as much as it has over the past century.
This rapid growth brings new complexities. Technologies such as solar panels and electric vehicles are reshaping how energy flows through the network—making it more dynamic, but also more difficult to manage. Running large-scale simulations on these evolving grids may soon exceed the capabilities of classical computing. One such challenge is the N-1 problem, which involves testing whether the grid can still function reliably if one component—such as a cable or transformer—fails.
To address this, Alliander joined forces with the Quantum Application Lab (QAL), a consortium including TNO, to investigate how quantum computing could provide new solutions. The collaboration aims to explore how quantum algorithms could help assess and improve the resilience of energy grids more efficiently and at scale.
How Did This Collaboration Come to Be?
Alliander had long been interested in the potential of quantum computing. When the Quantum Application Lab launched—with a focus on real-world use cases—it caught their attention.
“The lab actually has the word ‘application’ in it, which signalled to us that we could finally begin researching and limit-testing the potential of quantum for grid operators. We simply messaged QAL and got in touch with Mark Buningh and Peter Elias-van den Berg. From there, it was smooth sailing—and we’re still excited to collaborate on new projects.”
What Has the Collaboration Achieved So Far?
Together, the teams have developed a suite of quantum algorithms targeting the N-1 problem. While this isn't the most computationally intensive challenge Alliander faces, it is a relatable one.
“The N-1 case appeals to the imagination of the average Alliander employee. That’s important to us. One of our tasks is to explore and communicate the value of new technologies. When it comes to science-fiction-like innovations such as quantum computing, there’s no better way to prove their relevance than showing they can handle everyday grid operator challenges.”
The collaboration has already tested early-stage algorithms on real quantum hardware, yielding valuable insights. Simultaneously, the teams have refined and optimized the underlying code—benefiting from TNO’s advanced optimization pipeline. This joint work has laid a solid foundation for scaling toward more complex simulations and practical applications. This code can be accessed via this link.
Open Source and Future Steps
As part of a broader open-source initiative, the results of this project—including quantum algorithms and optimization tools—have been made publicly available on GitHub. The n-minus-1 code can be accessed here, enabling researchers and developers to explore the work, contribute feedback, and build on these tools to drive further innovation.
“We open source our quantum computing algorithms to ensure transparency, foster collaboration, and accelerate innovation. By sharing our tools and methods, we invite the global research and energy communities to build on our work, validate our approaches, and help shape practical quantum solutions for real-world challenges.”
How to Get Involved
Individuals or organizations with ideas related to quantum computing and the energy grid are encouraged to get in touch. For more information, collaboration inquiries, or to join the conversation, please contact the team at mark.buningh@tno.nl
