Supremacy of Quantum Computation in Bioscience: A Technical Review

• Published in: International Conference on Engineering Technology and their Applications (Online) pp. 852 - 855
• Main Authors: Hadi, M. R., Mohammed, G., Shnawa, Ammar H., Mundher adnan, Myasar, Abdulsattar jebur, Mustafa, Hameed, Waleed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.07.2023
• Subjects: Computational modeling; computers; control; Mathematical models; quantum; Quantum computing; Quantum entanglement; Supercomputers; Systematics; technology; Transforms
• DOI: 10.1109/IICETA57613.2023.10351306

Beyond traditional computing, quantum computing is based on quantum phenomena like entanglement and superposition. Even though quantum computing is still developing, it has had a tremendous impact on the world of computing by opening up a brand-new dimension. To fully appreciate its potential and advantages, however, there are a number of obstacles to overcome, much like with any other idea or subject. This review explains quantum computing models and identifies some advantages and disadvantages. This systematic review's key contribution is its summary of the state-of-the-art quantum computing models used in numerous fields nowadays. Based on the literature study, it offers new classifications of quantum models and connects the findings to the four main groups of quantum computing models. Evaluation demonstrates that despite their foundation in quantum operations and circuits, the majority of the studied models are either mathematical or algorithmic. In theory, quantum computers are capable of solving some tasks tenfold faster than their classical equivalents. Although the advent of practical quantum computation has not yet occurred, it will have an impact on almost all fields of science. In this analysis, we investigate the potential impact of contemporary quantum algorithms on computational science and informatics.