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Challenges and Opportunities of Near-Term Quantum Computing Systems
Open accessAbstract
The concept of quantum computing has inspired a whole new generation of scientists, including physicists, engineers, and computer scientists, to fundamentally change the landscape of information technology. With experimental demonstrations stretching back more than two decades, the quantum computing community has achieved a major milestone over the past few years: the ability to build systems that are stretching the limits of what can be classically simulated, and which enable cloud-based research for a wide range of scientists, thus increasing the pool of talent exploring early quantum systems. While such noisy near-term quantum computing systems fall far short of the requirements for fault-tolerant systems, they provide unique test beds for exploring the opportunities for quantum applications. Here, we highlight an IBM-specific perspective of the facets associated with these systems, including quantum software, cloud access, benchmarking quantum systems, error correction and mitigation in such systems, understanding the complexity of quantum circuits, and how early quantum applications can run on near-term quantum computers.
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Wootton, J. R. (2020) · IEEE Conference on Games (CoG) · doi:10.1109/cog47356.2020.9231571 · Cited by 10
Many-qubit protection-operation dilemma from the perspective of many-body localization
Silveri, M., & Orell, T. (2022) · Nature Communications · doi:10.1038/s41467-022-33657-3 · Cited by 9
Mahmoudi, Y., Zioui, N., Belbachir, H., Tadjine, M., & Rezgui, A. (2022) · Emerging Science Journal · doi:10.28991/esj-2023-07-01-020 · Cited by 10
Scheduling of Operations in Quantum Compiler
Itoko, T., & Imamichi, T. (2020) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce49297.2020.00049 · Cited by 9
Heterogeneous Computing Systems for Complex Scientific Discovery Workflows
Hagleitner, C., Diamantopoulos, D., Ringlein, B., Evangelinos, C., Johns, C., Chang, R., D’Amora, B., Kahle, J. A., Sexton, J., Johnston, M. A., et al. (2021) · Design, Automation, and Test in Europe · doi:10.23919/date51398.2021.9474061 · Cited by 9
Scaling up to problem sizes: an environmental life cycle assessment of quantum computing
Cordier, S., Thibault, K., Arpin, M.-L., & Amor, B. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/adc0ba · Cited by 8
Leveraging quantum science and technology for sustainable development in Africa
Mazhandu, F., & Mafu, M. (2025) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2025.2504259 · Cited by 8
Quantum Computing in Transportation Engineering: A Survey
Somvanshi, S., Islam, M. M., Polock, S. B. B., Chhetri, G., Anderson, D., Anandi, D., & Das, S. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3662626 · Cited by 8
Noise-adaptive quantum compilation strategies evaluated with application-motivated benchmarks
Ferrari, D., & Amoretti, M. (2022) · ACM International Conference on Computing Frontiers (CF) · doi:10.1145/3528416.3530250 · Cited by 10
Performance of Grover’s search algorithm with diagonalizable collective noises
Pan, M., Xiong, T., & Zheng, S. (2023) · Quantum Information Processing · doi:10.1007/s11128-023-03994-3 · Cited by 8
Quantum Computing in The Cloud - A Systematic Literature Review
Zhahir, A. A., Mohd, S. M., Shuhud, M. I. M., Idrus, B., Zainuddin, H. B., Jan, N. M., & Wahiddin, M. R. (2024) · International journal of electrical and computer engineering systems · doi:10.32985/ijeces.15.2.7 · Cited by 8
GraFeyn: Efficient Parallel Sparse Simulation of Quantum Circuits
Westrick, S., Liu, P., Kang, B., McDonald, C., Rainey, M., Xu, M., Arora, J., Ding, Y., & Acar, U. A. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00132 · Cited by 7
Ye, L., Wang, Y., & Zheng, X. H. (2025) · The Journal of Chemical Physics · doi:10.1063/5.0242648 · Cited by 9
Metadata
- Authors
- Corcoles, A. D., Kandala, A., Javadi-Abhari, A., McClure, D. T., Cross, A. W., Temme, K., Nation, P. D., Steffen, M., & Gambetta, J. M.
- Affiliations
- IBM (United States) (US)
- Venue
- Proceedings of the IEEE
- Published
- 2020-08
- Volume
- 108
- Issue
- 8
- Pages
- 1338-1352
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2978630019
- Cited by
- 203
- References
- 133
- Citations by year
- 2026: 21 · 2025: 44 · 2024: 44 · 2023: 25 · 2022: 22 · 2021: 34 · 2020: 12
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Proceedings of the IEEE (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Keywords
- near-term quantum computing, noisy intermediate-scale quantum computing, quantum computing software, cloud quantum computing, quantum benchmarking, quantum circuit complexity
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