https://github.com/brandonhorsley/bayesian_gbs
Looking into GBS verification with hopeful Bayesian Inference input.
Science Score: 10.0%
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
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.7%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Looking into GBS verification with hopeful Bayesian Inference input.
Basic Info
- Host: GitHub
- Owner: brandonhorsley
- Language: Python
- Default Branch: main
- Size: 4.88 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed about 3 years ago
https://github.com/brandonhorsley/Bayesian_GBS/blob/main/
# Bayesian_GBS Looking into GBS verification with hopeful Bayesian Inference input. My initial aim will focus on implementing the algorithm found in https://arxiv.org/pdf/1905.12075.pdf. Then I shall see about taking this further by implementing the Bayesian test like in https://arxiv.org/pdf/2207.10058.pdf.
Owner
- Name: Brandon Horsley
- Login: brandonhorsley
- Kind: user
- Location: Bristol, England
- Company: University of Bristol
- Repositories: 5
- Profile: https://github.com/brandonhorsley
Quantum Engineering CDT | Physicist looking to be more computational | Interested in Quantum Machine Learning