This study delves into the potential of quantum computing as an alternative information processing approach, utilizing quantum bits (qubits), superposition, and entanglement to significantly expand computational capabilities in the healthcare domain. Undoubtedly, quantum has emerged as a fundamental element shaping our physical reality today. It stands out as one of the swiftly advancing scientific fields with the potential to revolutionize various aspects of our daily lives. Within this era, quantum biology holds significant importance and could serve as a transformative force, particularly in the realm of medicine, specifically in addressing the challenges posed by cancer. Cancer is a complex and abnormal alteration of cells, orchestrated through intricate signaling pathways. This transformation is characterized by the accumulation of undesirable mutations. The concept of phenocopy, representing genetic mutations influenced by the environment, challenges the linear process line of molecular biology involving DNA, RNA, and proteins. Despite the increasing attention quantum biology has received in recent decades, numerous unanswered questions persist in the domain of cancer biology, creating unexplored avenues. Quantum theory has demonstrated its ability to explain models related to biological and biochemical processes, encompassing the effects of carcinogens on genes, the mechanism of interactions between chemotherapy drugs and DNA, and the understanding of DNA mutations and defective protein synthesis. Recent skepticism among quantum physicists about the essential role of quantum effects in biology has arisen, particularly regarding open quantum systems and the impact of decoherence on destroying coherence necessary for significant quantum effects. The document investigates recent studies rooted in the principles of quantum physics, specifically concentrating on how these principles apply to the realms of cancer biology and metabolism.
A Tue, study studied this question.