Benchmark: QUARK
Benchmarks / Application level (algorithms and use cases)
Performance of complete industrial applications across quantum and classical solvers, devices and simulators.
- Level
- Application level (algorithms and use cases)
- Maintained by
- Open-source framework introduced by Finžgar et al. (2022) with authors from industry; maintained in its GitHub organisation.
- European
- Not determined: European origin not verified on the pages read (affiliations were not shown).
How it is measured
A framework that orchestrates benchmarks of applications such as robot path optimisation, vehicle option optimisation, travelling salesperson, MaxSAT, maximum independent set, set cover and auto carrier loading, with solvers such as annealing and QAOA.
Limitations and criticisms
- Covers the applications its maintainers added; comparisons need the same mappings and settings.
Used in European procurements
None of the procurement documents read for this release names it.
Sources
- J. R. Finžgar, P. Ross, L. Hölscher, J. Klepsch, A. Luckow (2022). QUARK: A Framework for Quantum Computing Application Benchmarking. IEEE QCE 2022, DOI 10.1109/QCE53715.2022.00042; arXiv:2202.03028. Read: abstract page, retrieved 2026-10-23.
- QUARK framework maintainers (2026). QUARK repository. GitHub repository README. Read: repository README, retrieved 2026-10-23.