hybrid-genetic-optimisation-for-quantum-feature-map-design
https://github.com/rowpj/hybrid-genetic-optimisation-for-quantum-feature-map-design
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: RowPJ
- Language: Julia
- Default Branch: main
- Size: 88.3 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
hybrid-genetic-optimisation-for-quantum-feature-map-design
Paper
This project holds the official code for the paper "Hybrid Genetic
Optimisation for Quantum Feature Map Design" which can be found at
arxiv.org. The diagrams used in
the paper are in paper_results/diagrams.zip, and the results used to
produce them are in paper_results/results.zip.
Running the code:
This project makes use of both Python and Julia code to retain library availability with good performance. As a result, the setup process has some complexities which are managed by the scripts distributed with the project. The scripts and code were tested and are working on Ubuntu 20.04.06 LTS with Python version 3.8.10 and Julia version 1.10.3.
Steps:
Clone / download this repository.
Run
install.sh. On Unix systems, this downloads and installs the latest version of Julia to~/.juliaupand should be modified if you want to avoid this.Run
run.shto run the experiments in the paper and save the results to the./resultsdirectory.Run
make_graphs.shto generate the result figures used in the paper.
Owner
- Login: RowPJ
- Kind: user
- Repositories: 1
- Profile: https://github.com/RowPJ
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