The drug discovery process is a rigorous and time-consuming endeavor, typically requiring
several years of extensive research and development. Although classical machine learning
(ML) has proven successful in this field, its computational demands in terms of speed and
resources are significant. In recent years, researchers have sought to explore the potential
benefits of quantum computing (QC) in the context of machine learning (ML), leading to the
emergence of quantum machine learning (QML) as a distinct research field. The objective of …

The drug discovery process is a rigorous and time-consuming endeavor, typically requiring
several years of extensive research and development. Although classical machine learning
(ML) has proven successful in this field, its computational demands in terms of speed and
resources are significant. In recent years, researchers have sought to explore the potential
benefits of quantum computing (QC) in the context of machine learning (ML), leading to the
emergence of quantum machine learning (QML) as a distinct research field. The objective of …