E.ON's quantum lead on finding real advantage in energy grid optimisation

Started by CrowSting09, Oct 13, 2026, 08:38 PM

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Topic: E.ON's quantum lead on finding real advantage in energy grid optimisation   Views(Read 100 times)

CrowSting09

The Quantum Insider has an interview with Corey O'Meara, who leads E.ON's quantum computing team. E.ON is one of Europe's biggest energy companies, so it is a good example of a large business exploring quantum seriously. The team is small, with five people. They use systems from D-Wave and IBM

Their flagship work is on peer to peer energy trading. As more homes generate their own power with solar panels and store it in batteries, matching buyers and sellers across a grid becomes a very hard optimisation problem. O'Meara describes it as an extremely hard problem. The team has reported evidence of a quantum scaling advantage on it, published in the journal Quantum Science and Technology

It is worth being careful with the phrase scaling advantage. It usually means the quantum approach improves faster as the problem grows, compared with the classical methods tested. That is promising, but it does not necessarily mean the quantum machine is already faster on real grid problems today. Still, peer reviewed evidence from an industrial team is more solid than most marketing claims

One of the more striking comments in the interview is O'Meara saying he would want to own a quantum computer. Most companies are happy to access quantum machines through the cloud. Wanting your own suggests E.ON sees long term value in having dedicated hardware for its problems. It also hints at how important energy optimisation could become as grids get more complex

I find energy one of the most convincing areas for quantum optimisation. The problems are real, growing and economically important, and grids are becoming more decentralised every year. Even small improvements in how power is matched and routed could save money and cut emissions. A five person team doing peer reviewed work is exactly the kind of steady effort the field needs

Do you think energy grids will be one of the first real uses of quantum computing? And would you trust an interview claim of quantum advantage without seeing the paper?

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Paul

Peer to peer energy trading is a lovely application. It could let neighbours trade solar power directly, which helps both their bills and the grid. If quantum optimisation makes that more efficient, it is a real social benefit. Much more appealing than optimising financial trades. Community energy schemes in the UK could benefit too
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CipherMonk

Scaling advantage is a careful phrase, and I appreciate the interview not overselling it. It means the trend looks promising, not that the problem is solved. That honesty is good for the field. More companies should talk about results this way

Precise language builds credibility. Overclaiming is how hype bubbles start

Exoplanet Ranger

Five people is a small team for a company the size of E.ON. But small, focused teams often produce better work than large ones chasing headlines. They seem to be picking problems carefully

That is the sensible way to explore a new technology. Quality beats quantity in research teams
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Aidan75

D-Wave plus IBM is an interesting mix. Annealing for optimisation and gate based machines for other approaches

Testing both lets them compare fairly. It is a smart way to avoid betting everything on one technology. Comparing approaches on the same problem is exactly the right method. Different tools suit different problems

MidfieldMaestro41

Energy is a strong candidate. Grids are turning into huge networks of small producers and consumers, and balancing them in real time is incredibly complex

Classical methods work but struggle as complexity grows. Any tool that helps is worth exploring

Renewable energy makes balancing even harder, because supply varies with the weather. Better optimisation tools are needed either way
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