Why is Quantum Machine Learning Relevant to Catalysis?
Catalysis involves accelerating chemical reactions using catalysts, which are often complex materials. Understanding and designing these materials requires significant computational resources to model quantum mechanical interactions. QML can significantly enhance the efficiency and accuracy of these models, making it easier to discover new catalysts and optimize existing ones.
