OMEinsumContractionOrders
Tensor network contraction order optimizers (not only) for OMEinsum
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.0%) to scientific vocabulary
Keywords
Repository
Tensor network contraction order optimizers (not only) for OMEinsum
Basic Info
- Host: GitHub
- Owner: TensorBFS
- License: mit
- Language: Julia
- Default Branch: master
- Homepage: https://tensorbfs.github.io/OMEinsumContractionOrders.jl/dev/
- Size: 1 MB
Statistics
- Stars: 33
- Watchers: 2
- Forks: 5
- Open Issues: 4
- Releases: 46
Topics
Metadata Files
README.md
OMEinsumContractionOrders
OMEinsumContractionOrders is a Julia package that provides an optimize_code function for finding optimal contraction orders for tensor networks. It is designed to work with multiple tensor network packages, such as: OMEinsum.jl package and ITensorNetworks.jl.
Installation
To install OMEinsumContractionOrders, please follow these steps:
- Open Julia's interactive session (known as REPL) by typing
juliain your terminal. - Press the ] key in the REPL to enter the package mode.
- Type
add OMEinsumContractionOrdersto install the stable release of the package.
For using, please check the documentation.
References
If you find this package useful in your research, please cite the relevant papers in CITATION.bib.
Owner
- Name: TensorBFS
- Login: TensorBFS
- Kind: organization
- Location: You have to measure
- Repositories: 9
- Profile: https://github.com/TensorBFS
Tensorize Everything!
JOSS Publication
OMEinsumContractionOrders: A Julia package for tensor network contraction order optimization
Authors
Center of Computational Mathematics, Flatiron Institute, USA
University of Florida, USA
Tags
tensor networks contraction order optimizationCitation (CITATION.bib)
@misc{Liu2022,
doi = {10.48550/ARXIV.2205.03718},
url = {https://arxiv.org/abs/2205.03718},
author = {Liu, Jin-Guo and Gao, Xun and Cain, Madelyn and Lukin, Mikhail D. and Wang, Sheng-Tao},
keywords = {Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, FOS: Physical sciences},
title = {Computing solution space properties of combinatorial optimization problems via generic tensor networks},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
@misc{Pan2021,
title={Simulating the Sycamore quantum supremacy circuits},
author={Feng Pan and Pan Zhang},
year={2021},
eprint={2103.03074},
archivePrefix={arXiv},
primaryClass={quant-ph}
}
@Article{10.21468/SciPostPhys.7.5.060,
title={{Fast counting with tensor networks}},
author={Stefanos Kourtis and Claudio Chamon and Eduardo R. Mucciolo and Andrei E. Ruckenstein},
journal={SciPost Phys.},
volume={7},
issue={5},
pages={60},
year={2019},
publisher={SciPost},
doi={10.21468/SciPostPhys.7.5.060},
url={https://scipost.org/10.21468/SciPostPhys.7.5.060},
}
@article{Gray2021,
title={Hyper-optimized tensor network contraction},
volume={5},
ISSN={2521-327X},
url={http://dx.doi.org/10.22331/q-2021-03-15-410},
DOI={10.22331/q-2021-03-15-410},
journal={Quantum},
publisher={Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
author={Gray, Johnnie and Kourtis, Stefanos},
year={2021},
month={Mar},
pages={410}
}
@misc{kalachev2021recursive,
title={Recursive Multi-Tensor Contraction for XEB Verification of Quantum Circuits},
author={Gleb Kalachev and Pavel Panteleev and Man-Hong Yung},
year={2021},
eprint={2108.05665},
archivePrefix={arXiv},
primaryClass={quant-ph}
}
GitHub Events
Total
- Create event: 27
- Issues event: 25
- Release event: 12
- Watch event: 8
- Issue comment event: 119
- Push event: 69
- Pull request review comment event: 19
- Pull request review event: 16
- Pull request event: 37
- Fork event: 2
Last Year
- Create event: 27
- Issues event: 25
- Release event: 12
- Watch event: 8
- Issue comment event: 119
- Push event: 69
- Pull request review comment event: 19
- Pull request review event: 16
- Pull request event: 37
- Fork event: 2
Committers
Last synced: about 3 years ago
All Time
- Total Commits: 112
- Total Committers: 2
- Avg Commits per committer: 56.0
- Development Distribution Score (DDS): 0.009
Top Committers
| Name | Commits | |
|---|---|---|
| GiggleLiu | c****9@g****m | 111 |
| Rogerluo | r****8@g****m | 1 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 20
- Total pull requests: 51
- Average time to close issues: 6 months
- Average time to close pull requests: 1 day
- Total issue authors: 8
- Total pull request authors: 4
- Average comments per issue: 10.05
- Average comments per pull request: 1.43
- Merged pull requests: 48
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 19
- Average time to close issues: 4 days
- Average time to close pull requests: 3 days
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 4.18
- Average comments per pull request: 2.42
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- GiggleLiu (14)
- ArrogantGao (4)
- samuelsonric (3)
- ChenZhao44 (2)
- zipeilee (1)
- xptree (1)
- JuliaTagBot (1)
- alex124585 (1)
Pull Request Authors
- GiggleLiu (48)
- ArrogantGao (15)
- samuelsonric (10)
- Roger-luo (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 255 total
- Total dependent packages: 2
- Total dependent repositories: 0
- Total versions: 46
juliahub.com: OMEinsumContractionOrders
Tensor network contraction order optimizers (not only) for OMEinsum
- Homepage: https://tensorbfs.github.io/OMEinsumContractionOrders.jl/dev/
- Documentation: https://docs.juliahub.com/General/OMEinsumContractionOrders/stable/
- License: MIT
-
Latest release: 1.2.0
published 9 months ago
Rankings
Dependencies
- JuliaRegistries/TagBot v1 composite
- actions/cache v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
