EPB and IonQ Deploy Hybrid Trapped-Ion Algorithms on Forte Enterprise to Optimize Power Grid Topology
quantumcomputingreport.com Oct 29, 2026

EPB and IonQ Deploy Hybrid Trapped-Ion Algorithms on Forte Enterprise to Optimize Power Grid Topology

AI-summarised brief · reviewed before publication

EPB and IonQ published three technical preprints showing hybrid quantum‑classical algorithms for distribution network reconfiguration (DNR). Using a $4 million NIST grant, EPB’s Quantum Computing Fellows ran optimization protocols on an on‑premises IonQ Forte Enterprise trapped‑ion system at the EPB Quantum Center in Chattanooga. The work benchmarked three computational frameworks targeting line‑loss reduction and real‑time switch allocation across networks up to 417 buses. The study demonstrated that quantum sampling can guide classical power‑flow engines to low‑loss configurations, though runtime overhead remains significant for smaller systems.

💡 Why It Matters

  • · The research marks a tangible step toward integrating quantum computing into critical utility operations, offering a potential pathway to more efficient power grid management.
  • · It also establishes practical performance limits, informing future investment in quantum‑assisted infrastructure solutions.