Case Study: JIJ Inc achieves optimized power grid configurations with Q-CTRL’s hybrid quantum workflow

JIJ Inc optimizes power grid configurations on 69-bus networks with Q-CTRL

Q-CTRL partnered with JIJ Inc. to address the challenge of managing increasingly complex power grids. The integration of renewable energy and electric vehicle infrastructure made it difficult for traditional optimization methods to efficiently solve large-scale distribution network reconfiguration problems, which are critical for grid reliability and efficiency.

The solution implemented by Q-CTRL was a hybrid quantum-classical workflow using their Fire Opal QAOA solver. This approach combined classical preprocessing to reduce problem complexity with AI-powered quantum optimization on IBM hardware. The result was the largest-scale quantum hardware demonstration for this problem, successfully optimizing a network with 69 power buses. Q-CTRL's Fire Opal increased the probability of finding the optimal solution by more than seven times, and the workflow is projected to achieve a performance advantage over classical solvers at scales of 230 buses.

JIJ Inc