What are the Challenges in Implementing QML in Catalysis?
Despite its potential, implementing QML in catalysis faces several challenges: 1. Hardware Limitations: Quantum computers are still in their early stages, and current hardware may not yet be capable of handling the complex computations required for catalysis. 2. Algorithm Development: Developing QML algorithms that are specifically tailored for catalytic processes is an ongoing area of research. 3. Data Quality: High-quality datasets are essential for training QML models. In catalysis, acquiring accurate and comprehensive data can be challenging.
