Quantum computational study of chloride attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
06 May 2022
Historique:
received: 07 02 2022
accepted: 31 03 2022
entrez: 6 5 2022
pubmed: 7 5 2022
medline: 7 5 2022
Statut: epublish

Résumé

Quantum computing is expected to play an important role in solving the problem of huge computational costs in various applications by utilizing the collective properties of quantum states, including superposition, interference, and entanglement, to perform computations. Quantum mechanical (QM) methods are candidates for various applications and can provide accurate absolute energy calculations in structure-based methods. QM methods are powerful tools for describing reaction pathways and their potential energy surfaces (PES). In this study, we applied quantum computing to describe the PES of the bimolecular nucleophilic substitution (S

Identifiants

pubmed: 35523939
doi: 10.1038/s41598-022-11537-6
pii: 10.1038/s41598-022-11537-6
pmc: PMC9076662
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7495

Subventions

Organisme : the quantum computing technology development program of the National Research Foundation of Korea
ID : 2019M3E4A1080227
Organisme : the Ministry of Trade, Industry, and Energy (MOTIE)
ID : P0014714

Informations de copyright

© 2022. The Author(s).

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Auteurs

Hocheol Lim (H)

The Interdisciplinary Graduate Program in Integrative Biotechnology and Translational Medicine, Yonsei University, Incheon, Republic of Korea.
Bioinformatics and Molecular Design Research Center (BMDRC), Incheon, Republic of Korea.
Department of Biotechnology, Yonsei University, Seoul, Republic of Korea.

Hyeon-Nae Jeon (HN)

Department of Biotechnology, Yonsei University, Seoul, Republic of Korea.

June-Koo Rhee (JK)

QuNova Computing, Inc., Daejeon, Republic of Korea.

Byungdu Oh (B)

Baobab AiBIO Co., Ltd., Incheon, Republic of Korea. bdoh@skku.edu.
SKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, Suwon, Republic of Korea. bdoh@skku.edu.

Kyoung Tai No (KT)

The Interdisciplinary Graduate Program in Integrative Biotechnology and Translational Medicine, Yonsei University, Incheon, Republic of Korea. ktno@yonsei.ac.kr.
Bioinformatics and Molecular Design Research Center (BMDRC), Incheon, Republic of Korea. ktno@yonsei.ac.kr.
Baobab AiBIO Co., Ltd., Incheon, Republic of Korea. ktno@yonsei.ac.kr.

Classifications MeSH