QML algorithms can process vast datasets of chemical properties and interactions much faster than classical methods. This capability enables researchers to simulate and predict the behavior of potential catalysts with unprecedented accuracy. By utilizing quantum computers, QML can explore a larger chemical space, identify optimal catalyst structures, and predict their performance under various conditions.
