Benchmark: Quantum LINPACK
Benchmarks / Application level (algorithms and use cases)
How well a quantum computer solves linear algebra tasks, such as linear systems, on random block-encoded matrices, as an analogue of the LINPACK benchmark of supercomputers.
- Level
- Application level (algorithms and use cases)
- Maintained by
- Proposed by Dong and Lin (2021).
- European
- No: Both authors are at the University of California, Berkeley and Lawrence Berkeley National Laboratory (USA) (arXiv paper, first page, read on 27 October 2026).
- Reference
- https://arxiv.org/abs/2006.04010
How it is measured
Random circuit block-encoded matrices (RACBEM) adapted to the hardware are used as inputs; tasks such as solving a linear system run on the device and are compared with the ideal result.
Limitations and criticisms
- A proposal of its authors (Dong and Lin 2021); no maintained public suite was verified for this release.
- Random block-encoded matrices are not a specific application.
Used in European procurements
- Used in: EuroHPC procurement EuroQCS-France (now Lucy) (Required in the benchmark suite (scored under the award criteria))
As the tender documents state; how a benchmark is weighted against others is described in each procurement.
Sources
- Y. Dong, L. Lin (2021). Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark. Phys. Rev. A 103, 062412 (2021); arXiv:2006.04010. Read: abstract page, retrieved 2026-10-23.