<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob" -->

---
title: E.ON and Qoro Test Hybrid Quantum Computing for Energy...
description: Qoro, E.ON and the UK National Quantum Computing Centre built a proof of concept using hybrid quantum-classical computing for peer-to-peer energy transaction...
canonical: https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling | daily.dev
og:description: Qoro, E.ON and the UK National Quantum Computing Centre built a proof of concept using hybrid quantum-classical computing for peer-to-peer energy transaction...
og:url: https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob
og:image: https://api.daily.dev/og/posts/tjbLxjvob.png
og:image:alt: E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling

**[The Quantum Insider](https://daily.dev/sources/thequantuminsider)** · 4 min read · 0 upvotes · 0 comments

## Summary

Qoro, E.ON and the UK National Quantum Computing Centre built a proof of concept using hybrid quantum-classical computing for peer-to-peer energy transaction scheduling. Qoro's Divi SDK and scheduler broke large grid optimization problems into subproblems of up to 50 qubits, cutting quantum hardware execution time roughly threefold via spatial circuit packing on IBM hardware. A realistic grid model based on the PEGASE-1354 bus benchmark normally needs 1,710 qubits, far beyond current hardware limits. QAOA sampling with classical feasibility repair reduced residual decomposition error versus classical baselines, though this remains a proof of concept, not a deployed system.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thequantuminsider.com/2026/10/29/eon-qoro-hybrid-quantum-energy-scheduling>

## Questions this post answers

### How many qubits does a realistic power grid optimization model require compared to current quantum hardware limits?

A realistic power grid model based on the PEGASE-1354 bus benchmark typically requires 1,710 qubits, far beyond the capacity of current commercial quantum computers. Researchers from Qoro, E.ON and the UK National Quantum Computing Centre addressed this by decomposing the problem into subproblems of up to 50 qubits using Qoro's Divi SDK and scheduler, then reassembling results with classical feasibility repair.

_Anyone weighing near-term quantum use cases can follow hybrid optimization experiments like this on daily.dev._

### Can QAOA combined with classical repair outperform classical baselines for grid scheduling problems?

Yes, QAOA sampling combined with classical feasibility repair reduced residual decomposition error compared with standard classical baselines in a proof-of-concept study on peer-to-peer energy transaction scheduling. The approach also cut quantum hardware execution time by about threefold through spatial circuit packing on IBM hardware, though it has not yet been deployed in an operational power grid.

_Developers evaluating hybrid quantum-classical algorithms can track results like these on daily.dev._

## Similar posts on daily.dev

- [Qoro and Hartree Centre Partner on Hybrid Quantum-HPC Computing](https://daily.dev/posts/qoro-and-hartree-centre-partner-on-hybrid-quantum-hpc-computing-bibcucdf4) · The Quantum Insider · 0 upvotes · 0 comments
- [Corey O’Meara \(E.ON\): Finding Real Quantum Advantage in Grid Optimization](https://daily.dev/posts/corey-o-meara-e-on-finding-real-quantum-advantage-in-grid-optimization-ssdhyqulv) · The Quantum Insider · 0 upvotes · 0 comments
- [WISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning](https://daily.dev/posts/wiser-and-e-on-advance-energy-demand-forecasting-with-quantum-machine-learning-tfuy9aoob) · The Quantum Insider · 0 upvotes · 0 comments

---

Tags: [#quantum-computing](https://daily.dev/tags/quantum-computing), [#ibm](https://daily.dev/tags/ibm)

[View this post on daily.dev](https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling","url":"https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob"},"datePublished":"2026-10-29T12:12:34.680Z","dateModified":"2026-10-29T12:12:59.235Z","description":"Qoro, E.ON and the UK National Quantum Computing Centre built a proof of concept using hybrid quantum-classical computing for peer-to-peer energy transaction...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ef995d80c06c6b2ff0c07303c61172cb?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ef995d80c06c6b2ff0c07303c61172cb?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The Quantum Insider","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The Quantum Insider","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/7b14a6b34c1b464c9e8a88d9a0dac951","url":"https://daily.dev/sources/thequantuminsider"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"quantum-computing,ibm","timeRequired":"PT4M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The Quantum Insider","item":"https://daily.dev/sources/thequantuminsider"},{"@type":"ListItem","position":3,"name":"E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling"}]}
{"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/e-on-and-qoro-test-hybrid-quantum-computing-for-energy-scheduling-tjblxjvob#faq","mainEntity":[{"@type":"Question","name":"How many qubits does a realistic power grid optimization model require compared to current quantum hardware limits?","acceptedAnswer":{"@type":"Answer","text":"A realistic power grid model based on the PEGASE-1354 bus benchmark typically requires 1,710 qubits, far beyond the capacity of current commercial quantum computers. Researchers from Qoro, E.ON and the UK National Quantum Computing Centre addressed this by decomposing the problem into subproblems of up to 50 qubits using Qoro's Divi SDK and scheduler, then reassembling results with classical feasibility repair. Anyone weighing near-term quantum use cases can follow hybrid optimization experiments like this on daily.dev."}},{"@type":"Question","name":"Can QAOA combined with classical repair outperform classical baselines for grid scheduling problems?","acceptedAnswer":{"@type":"Answer","text":"Yes, QAOA sampling combined with classical feasibility repair reduced residual decomposition error compared with standard classical baselines in a proof-of-concept study on peer-to-peer energy transaction scheduling. The approach also cut quantum hardware execution time by about threefold through spatial circuit packing on IBM hardware, though it has not yet been deployed in an operational power grid. Developers evaluating hybrid quantum-classical algorithms can track results like these on daily.dev."}}]}
```

