qnetvo
Simulate and optimize quantum communication networks using quantum computers.
Science Score: 64.0%
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
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✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 6 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Keywords
Repository
Simulate and optimize quantum communication networks using quantum computers.
Basic Info
- Host: GitHub
- Owner: ChitambarLab
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://chitambarlab.github.io/qNetVO/index.html
- Size: 32.6 MB
Statistics
- Stars: 17
- Watchers: 5
- Forks: 7
- Open Issues: 0
- Releases: 12
Topics
Metadata Files
README.md
qNetVO: Quantum Network Variational Optimizer
Simulate and optimize quantum communication networks using quantum computers.
Features
QNetVO simulates quantum communication networks on differentiable quantum cicuits. The cicuit parameters are optimized with respect to a cost function using automatic differentiation and gradient descent. QNetVO is powered by PennyLane, an open-source framework for cross-platform quantum machine learning.
Simulating Quantum Communication Networks:
- Construct complex quantum network ansatzes from generic quantum circuit compenents.
- Simulate the quantum network on a quantum computer or classical simulator.
Optimizing Quantum Communication Networks:
- Use our library of network-oriented cost functions or create your own.
- Gradient descent methods for tuning quantum network ansatz settings to minimize the cost.
Quick Start
Install qNetVO:
$ pip install qnetvo
Install PennyLane:
$ pip install pennylane==0.37
Import packages:
import pennylane as qml
import qnetvo as qnet
Note
For optimal use, qNetVO should be used with PennyLane. QNetVO is currently compatible with PennyLane v0.37.
Contributing
We welcome outside contributions to qNetVO. Please see the Contributing page for details and a development guide.
How to Cite
See CITATION.bib for a BibTex reference to qNetVO.
License
QNetVO is free and open-source. The software is released under the Apache License, Version 2.0. See LICENSE for details and NOTICE for copyright information.
Acknowledgments
We thank Xanadu, the UIUC Physics Department, and the Quantum Information Science and Engineering Network (QISE-Net) for their support of qNetVO. Work funded by NSF award DMR-1747426.
Owner
- Name: Chitambar Lab Group
- Login: ChitambarLab
- Kind: organization
- Location: United States of America
- Repositories: 7
- Profile: https://github.com/ChitambarLab
Citation (CITATION.bib)
@misc{qNetVO,
author = {Brian Doolittle and Tom Bromley},
title = {qNetVO: the Quantum Network Variational Optimizer},
howpublished = {\url{https://github.com/ChitambarLab/qNetVO}},
url = {https://github.com/ChitambarLab/qNetVO},
version = {v0.4.3},
year = {2022},
month = {March},
doi = {10.5281/zenodo.6345834},
}
GitHub Events
Total
- Watch event: 8
- Fork event: 1
Last Year
- Watch event: 8
- Fork event: 1
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 432
- Total Committers: 6
- Avg Commits per committer: 72.0
- Development Distribution Score (DDS): 0.023
Top Committers
| Name | Commits | |
|---|---|---|
| Brian Doolittle | b****e@g****m | 422 |
| trbromley | b****2@g****m | 3 |
| Danny Chen | d****n@m****v | 3 |
| Nathan Killoran | c****y@u****m | 2 |
| Tom Bromley | 4****y@u****m | 1 |
| Danny Chen | d****n@m****v | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 0
- Total pull requests: 55
- Average time to close issues: N/A
- Average time to close pull requests: 18 days
- Total issue authors: 0
- Total pull request authors: 5
- Average comments per issue: 0
- Average comments per pull request: 0.64
- Merged pull requests: 53
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 5 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 4.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- bdoolittle (51)
- m-bhatia (2)
- trbromley (2)
- co9olguy (1)
- dannychen0830 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 31 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 12
- Total maintainers: 1
pypi.org: qnetvo
The Quantum Network Variational Optimizer
- Homepage: https://github.com/ChitambarLab/qNetVO
- Documentation: https://qnetvo.readthedocs.io/
- License: Apache Software License
-
Latest release: 0.4.4
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- Pygments >=2.7.4
- furo *
- m2r2 ==0.3.2
- pennylane *
- sphinx >=3.0
- sphinxcontrib-email ==0.3.5
- dask *
- pennylane ==0.22
- pennylane-qiskit ==0.20
- qiskit ==0.34
- tensorflow >=2.0,<3.0
- tensornetwork >=0.3,<0.4
- actions/checkout v1 composite
- ad-m/github-push-action master composite
- ammaraskar/sphinx-action master composite
- actions/checkout v1 composite
- ammaraskar/sphinx-action master composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- styfle/cancel-workflow-action 0.4.1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- styfle/cancel-workflow-action 0.4.1 composite
- furo *
- m2r2 ==0.3
- sphinxcontrib-email ==0.3.5