The discovery of drugs is a long and complex process that includes the identification of potential drug targets, the synthesis of candidate compounds, and the assessment of their safety and efficacy. Traditional computational methods are successful but are often limited by factors such as computational resources, time, and accuracy. Quantum computing has unique properties such as superposition and attachment, which are capable of overcoming these limitations and revolutionizing drug discovery. Quantum computers can simulate complex molecules such as proteins and ligands with unique accuracy. This simulation capability enables scientists to study drug candidate behaviour at the atomic level, which helps to better understand their interactions with receptors and enzymes. The chapter outlines current and potential uses of quantum computing in pharmaceutical research, emphasizing drug discovery and discussing its feasibility and potential in drug design based on recent scientific studies.