Abstract
SF-2025-003
Quantum computing has the potential to solve classical optimization problems. To bring these
algorithms into practical use, a comprehensive, high-performance and user-friendly toolkit is essential. The Q-OPT: Quantum Optimization Toolkit is a collection of software tools designed to
support complete end-to-end framework for quantum optimization.
- Developers:
-
Hovland, Paul [1] ; Larson, Jeffrey [1] ; Menickelly, Matthew [1] ; Dzahini, Kwassi [1] ; Liu, Ji [1] ; Saleem, Zain [1] ; Li, Xinpeng [2]
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Case Western Reserve Univ., Cleveland, OH (United States)
- Contributing Organizations:
-
Sponsor: ARGONNE NATIONAL LABORATORY
- Release Date:
- 2025-08-14
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
Apache License 2.0
- Sponsoring Org.:
-
USDOE Office of Science (SC)Primary Award/Contract Number:AC02-06CH11357ARGONNE NATIONAL LABORATORYPrimary Award/Contract Number:AC02-06CH11357
- Code ID:
- 160929
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Country of Origin:
- United States
Citation Formats
Hovland, Paul, Larson, Jeffrey M., Menickelly, Matthew, Dzahini, Kwassi J., Liu, Ji, Saleem, Zain, and Li, Xinpeng.
Q-OPT:Quantum Optimization Toolkit.
Computer Software.
https://github.com/qopt-quantum-optimization/.github.
USDOE Office of Science (SC), ARGONNE NATIONAL LABORATORY.
14 Aug. 2025.
Web.
doi:10.11578/dc.20250818.1.
Hovland, Paul, Larson, Jeffrey M., Menickelly, Matthew, Dzahini, Kwassi J., Liu, Ji, Saleem, Zain, & Li, Xinpeng.
(2025, August 14).
Q-OPT:Quantum Optimization Toolkit.
[Computer software].
https://github.com/qopt-quantum-optimization/.github.
https://doi.org/10.11578/dc.20250818.1.
Hovland, Paul, Larson, Jeffrey M., Menickelly, Matthew, Dzahini, Kwassi J., Liu, Ji, Saleem, Zain, and Li, Xinpeng.
"Q-OPT:Quantum Optimization Toolkit." Computer software.
August 14, 2025.
https://github.com/qopt-quantum-optimization/.github.
https://doi.org/10.11578/dc.20250818.1.
@misc{
doecode_160929,
title = {Q-OPT:Quantum Optimization Toolkit},
author = {Hovland, Paul and Larson, Jeffrey M. and Menickelly, Matthew and Dzahini, Kwassi J. and Liu, Ji and Saleem, Zain and Li, Xinpeng},
abstractNote = {SF-2025-003
Quantum computing has the potential to solve classical optimization problems. To bring these
algorithms into practical use, a comprehensive, high-performance and user-friendly toolkit is essential. The Q-OPT: Quantum Optimization Toolkit is a collection of software tools designed to
support complete end-to-end framework for quantum optimization.},
doi = {10.11578/dc.20250818.1},
url = {https://doi.org/10.11578/dc.20250818.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250818.1}},
year = {2025},
month = {aug}
}