Abstract
A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.
n this repository you will find a low-level and light-weighted benchmark suite based on IBM OpenQASM language (see spec). It collects commonly seen quantum algorithms and routines from various domains including chemistry, simulation, linear algebra, searching, optimization, arithmetic, machine learning, fault tolerance, cryptography, etc. QASMBench trades-off between generality and usability, covering the number of qubits ranging from 2 to 60K, and the circuit depth from 4 to 12M
- Developers:
- Release Date:
- 2020-06-08
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 1
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 38355
- Site Accession Number:
- Battelle IPID 31924-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Li, Ang, and Central, PNNL Developer.
pnnl/QASMBench.
Computer Software.
https://github.com/pnnl/QASMBench.
USDOE.
08 Jun. 2020.
Web.
doi:10.11578/dc.20240614.126.
Li, Ang, & Central, PNNL Developer.
(2020, June 08).
pnnl/QASMBench.
[Computer software].
https://github.com/pnnl/QASMBench.
https://doi.org/10.11578/dc.20240614.126.
Li, Ang, and Central, PNNL Developer.
"pnnl/QASMBench." Computer software.
June 08, 2020.
https://github.com/pnnl/QASMBench.
https://doi.org/10.11578/dc.20240614.126.
@misc{
doecode_38355,
title = {pnnl/QASMBench},
author = {Li, Ang and Central, PNNL Developer},
abstractNote = {A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.
n this repository you will find a low-level and light-weighted benchmark suite based on IBM OpenQASM language (see spec). It collects commonly seen quantum algorithms and routines from various domains including chemistry, simulation, linear algebra, searching, optimization, arithmetic, machine learning, fault tolerance, cryptography, etc. QASMBench trades-off between generality and usability, covering the number of qubits ranging from 2 to 60K, and the circuit depth from 4 to 12M},
doi = {10.11578/dc.20240614.126},
url = {https://doi.org/10.11578/dc.20240614.126},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240614.126}},
year = {2020},
month = {jun}
}