Machine learning for drug discovery is applying quantum computing to cheminformatics and compressing large datasets containing numerous molecules. Despite the challenges, machine learning is becoming increasingly popular in the field of drug discovery due to its wide range of applications. However, the enormous amount of data involved in this field makes it a computational challenge for classical computers.