#### Background Steel is the backbone of modern industry, from infrastructure to energy production. However, optimizing steel production, particularly in blast furnaces, is a complex challenge. Fluctuations in temperature, inefficient resource use, and high emissions make it difficult to balance efficiency with sustainability. Traditional methods rely heavily on operator expertise, but Terra Quantum AG has introduced a breakthrough solution using **Hybrid Quantum Machine Learning** to revolutionize furnace operations. #### Key Insights 🔥 **Precision in Temperature Control** Blast furnaces require stable temperatures for quality steel production, but traditional methods allow fluctuations of up to **±50°C**. Terra Quantum’s machine learning model reduces this variance significantly, achieving a **±7.5°C** accuracy—an improvement of **42%**. This leads to **more consistent steel quality** and **lower operational risks**. ⚡ **Optimized Resource Utilization** Pulverized Coal Injection (PCI) is crucial for cost-effective steelmaking, but optimizing PCI rates is difficult due to delayed feedback loops. The AI-driven model from Terra Quantum continuously adjusts PCI levels in real time, ensuring **fuel efficiency** and **lowering production costs**. 🌱 **Environmental and Economic Gains** By stabilizing furnace temperatures and optimizing fuel use, Terra Quantum’s system **reduces CO₂ emissions**, helping steelmakers meet sustainability targets. At **POSCO Holdings**, one of the world's largest steel producers, this approach demonstrated the potential to save **millions annually** while enhancing **energy efficiency**. #### So What? This hybrid quantum solution is not just a technological upgrade—it’s a **game-changer for the steel industry**. Companies adopting AI-driven optimization can expect **lower costs, better-quality steel, and a reduced carbon footprint**. Beyond steel, this innovation could transform other energy-intensive industries, paving the way for a smarter, greener manufacturing future. 🚀