Future Potential of Quantum Computing and Simulations in Biological Science.
Biological aspects
Quantum algorithm
Quantum computer
Quantum simulation
Journal
Molecular biotechnology
ISSN: 1559-0305
Titre abrégé: Mol Biotechnol
Pays: Switzerland
ID NLM: 9423533
Informations de publication
Date de publication:
17 Sep 2023
17 Sep 2023
Historique:
received:
14
06
2023
accepted:
16
08
2023
medline:
17
9
2023
pubmed:
17
9
2023
entrez:
17
9
2023
Statut:
aheadofprint
Résumé
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.
Identifiants
pubmed: 37717248
doi: 10.1007/s12033-023-00863-3
pii: 10.1007/s12033-023-00863-3
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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