Quantum computing has become a buzzword in the tech community nowadays. Its applications in the healthcare has begun as a novel and promising frontier, capturing the attention of the researchers. This shift from classical bits to quantum bits (qubits) has immense potential for the healthcare and pharmaceutical research sectors. However, challenges related to qubit count and error rates persist. Quantum computing's exclusive attributes, like superposition, entanglement, and quantum parallelism, is able to transcend classical computational boundaries and solve the intricate complexities inherent in healthcare datasets. This scientific endeavor aims to unlock uncharted frontiers in biomarker discovery, drug design, disease diagnosis, and personalized treatment regimens, propelling the healthcare domain into a new development of unprecedented advancements. The components of quantum computing, including quantum hardware (qubits), quantum gates, and quantum memories, are elucidated, emphasizing their roles and technological implementations. Unique quantum properties like superposition and entanglement, which underpin quantum computing's capabilities, are also discussed. Key requirements for quantum healthcare, including hardware development, quantum algorithms, data management, privacy, regulatory frameworks, hybrid algorithms, and accelerated data analysis, are outlined. Addressing these requirements and leveraging hybrid algorithms promises to present a comprehensive study of quantum computing in the healthcare sector. This article explores the transformative impact of quantum computing on healthcare, discussing its advantages over classical computing, including exponential speedup and enhanced cryptography. It states challenges like qubit stability and error correction. Moreover, this paper explains the quantum mechanics principles, highlighting their relevance in healthcare domains. Quantum computing's potential applications in protein folding, drug discovery and many more are also detailed.