E.ON and Qoro Test Hybrid Quantum Computing for Energy Scheduling
AI-summarised brief · reviewed before publication
A consortium of Qoro, energy giant E.ON and the UK National Quantum Computing Centre has produced a proof‑of‑concept hybrid quantum‑classical system for peer‑to‑peer energy transaction scheduling. Using Qoro’s open‑source Divi SDK and scheduler, the team partitioned a large grid optimisation problem—based on the PEGASE‑1354 benchmark that would normally require 1,710 qubits—into sub‑problems of up to 50 qubits. Spatial circuit packing on IBM quantum hardware cut execution time by roughly threefold, while Quantum Approximate Optimisation Algorithm (QAOA) sampling combined with classical feasibility repair lowered residual decomposition error versus classical baselines. The approach demonstrated that software‑driven decomposition can make utility‑scale quantum optimisation feasible today, though it remains a laboratory demonstration rather than a deployed grid solution.
💡 Why It Matters
- · By slashing the number of scheduling rounds needed for prosumer energy trades, the method offers a concrete route to alleviate real‑time grid strain as decentralized generation expands.