Quantum computing applications in biology
Abstract
Recently, there has been significant interest in quantum technology, which utilizes various quantum phenomena, including quantum coherence, entanglement, interference, and superposition, among others. Consequently, many attempts are recently being made to apply quantum computing in biological sciences due to its potential advancements. This paper seeks to fill that gap by highlighting the direct biological applications of quantum computing, providing a novel contribution to the field. The Goal of this paper is to offer a thorough examination of both current and potential applications of this technology, within the field of biology. First, quantum computing principles and the challenges they face are explained. Quantum machine learning, is also, introduced which opens a window to biological applications of quantum computation. Then, numerous, existing, potentially crucial, biological applications of quantum computing, which greatly enhance healthcare and quality of life, particularly in the broad field of genetics, drug design, molecular biology, and bioinformatics, are being discussed.
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