Future Potential of Quantum Computing and Simulations in Biological Science.

Autor: Pal S; School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India., Bhattacharya M; Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, Odisha, 756020, India., Dash S; School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India., Lee SS; Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon, Gangwon-Do, 24252, Republic of Korea., Chakraborty C; Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India. drchiranjib@yahoo.com.
Jazyk: angličtina
Zdroj: Molecular biotechnology [Mol Biotechnol] 2024 Sep; Vol. 66 (9), pp. 2201-2218. Date of Electronic Publication: 2023 Sep 17.
DOI: 10.1007/s12033-023-00863-3
Abstrakt: The review article presents the recent progress in quantum computing and simulation within the field of biological sciences. The article is designed mainly into two portions: quantum computing and quantum simulation. In the first part, significant aspects of quantum computing was illustrated, such as quantum hardware, quantum RAM and big data, modern quantum processors, qubit, superposition effect in quantum computation, quantum interference, quantum entanglement, and quantum logic gates. Simultaneously, in the second part, vital features of the quantum simulation was illustrated, such as the quantum simulator, algorithms used in quantum simulations, and the use of quantum simulation in biological science. Finally, the review provides exceptional views to future researchers about different aspects of quantum simulation in biological science.
(© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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