this case study explores how quantum computing algorithms were applied to optimize power grid distribution in metropolitan areas, achieving a 42% efficiency improvement in grid management.
developed a variational quantum algorithm with 127 qubits specifically tailored to solve non-convex optimization problems in grid management.
conducted 250+ hybrid classical-quantum simulations using ibm q experience, achieving 98.3% accuracy metrics.
successfully implemented in new orleans grid system, reducing peak load by 38% during summer 2024.
quatum-127
127 qubits
98.7% coherence
99.1% gate fidelity