Toward the institutionalization of quantum computing in pharmaceutical research
Abstract
Innovative pharmaceutical companies have started to explore quantum computing (QC). In this article, we provide a collective industry perspective from QC domain leaders at leading pharmaceutical companies. There are immediate nonfinancial benefits in engaging with QC, some likely financial returns in the short term in drug development, manufacturing, and supply chain, and potentially large scientific benefits in drug discovery long term. We discuss the required activities for institutionalizing QC: how to create an understanding of QC among researchers and management, which and how to deploy external resources, and how to identify the problems to be addressed with QC. If (and once) deployable, QC will likely have a similar trajectory to that of computer-aided drug design (CADD) and artificial intelligence (AI) during the 1990s and 2010s, respectively.
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Quantum computing has developed ways to address modern biological problems and complex biological questions.
“Now, quantum computing (QC) has developed a plethora of ways to address modern biological problems and complex biological questions [1-4].”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [4]
Zinner et al. proposed a plan for using quantum computing along with CADD and AI during drug discovery, development, and distribution.
“Zinner etal. proposed a plan for using quantum computing along with the CADD and AI during drug discovery, development, and distribution [4].”
From Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics (2024) · cites this paper as [4]
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- Authors
- Zinner, M., Dahlhausen, F., Boehme, P., Ehlers, J., Bieske, L., & Fehring, L.
- Affiliations
- Witten/Herdecke University (DE)
- Corresponding author
- Fehring, Leonard
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 27
- Issue
- 2
- Pages
- 378-383
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W3208259513
- Cited by
- 43
- References
- 37
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 11 · 2023: 10 · 2022: 4 · 2021: 1
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Drug Discovery Today (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Keywords
- quantum computing, pharmaceutical industry, drug discovery, drug development, institutionalization, quantum computing adoption, computer-aided drug design, artificial intelligence in drug discovery, industry perspectives
- MeSH terms
- Pharmaceutical Research, Artificial Intelligence, Computing Methodologies, Pharmaceutical Preparations, Humans, Institutionalization, Quantum Theory
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