Published August 31, 2024
| Version v1
Software
Open
Reproduction Package for "Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation" @QCE24
Contributors
Description
With this reproduction package the results published in the paper "Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation" by Maja Franz, Tobias Winker, Sven Groppe and Wolfgang Mauerer, published at the IEEE International Conference on Quantum Computing and Engineering (QCE24), 2024, can be reproduced.
A preprint of the paper can be found on arXiv.
The source code is also available on GitHub.
Artifacts:
- qce24_repro.tar -- Prebuilt Docker image, load with "docker load -i qce24_repro.tar"
- RL_for_JO.tar.gz -- compressed source code (same as on GitHub)
Files
Files
(13.7 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:e702c2bb3cadf994432165a9d960dc9a
|
13.4 GB | Download |
|
md5:d3370033bb5afcc5376c33385633d09f
|
279.4 MB | Download |
Additional details
Identifiers
- arXiv
- arXiv:2405.07770
Related works
- Is metadata for
- Preprint: arXiv:2405.07770 (arXiv)
Funding
- Federal Ministry of Education and Research
- quantum technologies—from basic research to market 13NI6092
Software
- Repository URL
- https://github.com/lfd/RL_for_JO
- Programming language
- Python , R , TeX
- Development Status
- Inactive