1
|
Durant TJS, Knight E, Nelson B, Dudgeon S, Lee SJ, Walliman D, Young HP, Ohno-Machado L, Schulz WL. A primer for quantum computing and its applications to healthcare and biomedical research. J Am Med Inform Assoc 2024; 31:1774-1784. [PMID: 38934288 PMCID: PMC11258415 DOI: 10.1093/jamia/ocae149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVES To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations. TARGET AUDIENCE Investigators seeking to explore quantum computing and create quantum-based applications for healthcare and biomedical research. SCOPE Quantum computing requires specialized hardware, known as quantum processing units, that use quantum bits (qubits) instead of classical bits to perform computations. This article will cover (1) proposed applications where quantum computing offers advantages to classical computing in biomedicine; (2) an introduction to how quantum computers operate, tailored for biomedical researchers; (3) recent progress that has expanded access to quantum computing; and (4) challenges, opportunities, and proposed solutions to integrate quantum computing in biomedical applications.
Collapse
Affiliation(s)
- Thomas J S Durant
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, United States
- Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, United States
| | - Elizabeth Knight
- Yale School of Medicine, Yale University, New Haven, CT 06510, United States
| | - Brent Nelson
- Newport Healthcare, Minneapolis, MN 55435, United States
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, United States
| | - Sarah Dudgeon
- Computational Biology and Bioinformatics, Yale University, New Haven, CT 06510, United States
| | - Seung J Lee
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, United States
- Yale School of Medicine, Yale University, New Haven, CT 06510, United States
| | | | - Hobart P Young
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, United States
| | - Lucila Ohno-Machado
- Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, United States
| | - Wade L Schulz
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, United States
- Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, United States
| |
Collapse
|
2
|
Pyrkov A, Aliper A, Bezrukov D, Lin YC, Polykovskiy D, Kamya P, Ren F, Zhavoronkov A. Quantum computing for near-term applications in generative chemistry and drug discovery. Drug Discov Today 2023; 28:103675. [PMID: 37331692 DOI: 10.1016/j.drudis.2023.103675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/22/2023] [Accepted: 06/13/2023] [Indexed: 06/20/2023]
Abstract
In recent years, drug discovery and life sciences have been revolutionized with machine learning and artificial intelligence (AI) methods. Quantum computing is touted to be the next most significant leap in technology; one of the main early practical applications for quantum computing solutions is predicted to be in quantum chemistry simulations. Here, we review the near-term applications of quantum computing and their advantages for generative chemistry and highlight the challenges that can be addressed with noisy intermediate-scale quantum (NISQ) devices. We also discuss the possible integration of generative systems running on quantum computers into established generative AI platforms.
Collapse
Affiliation(s)
- Alexey Pyrkov
- Insilico Medicine Hong Kong Ltd, Pak Shek Kok, New Territories, Hong Kong.
| | - Alex Aliper
- Insilico Medicine AI Ltd, Masdar City, Abu Dhabi, United Arab Emirates
| | - Dmitry Bezrukov
- Insilico Medicine Hong Kong Ltd, Pak Shek Kok, New Territories, Hong Kong
| | - Yen-Chu Lin
- Insilico Medicine Taiwan Ltd, Taipei, Taiwan
| | | | | | - Feng Ren
- Insilico Medicine Shanghai Ltd, Shanghai, China
| | - Alex Zhavoronkov
- Insilico Medicine Hong Kong Ltd, Pak Shek Kok, New Territories, Hong Kong
| |
Collapse
|