pyqkd

Repository with codes for simulating and optimising quantum key distribution protocols.

https://github.com/gnypit/pyqkd

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary

Keywords

genetic-algorithm genetic-algorithm-framework genetic-algorithm-python optimisation parallel-computing parallel-programming qkd qkd-optimisation qkd-protocol qkd-simulator simulation
Last synced: 4 months ago · JSON representation ·

Repository

Repository with codes for simulating and optimising quantum key distribution protocols.

Basic Info
  • Host: GitHub
  • Owner: gnypit
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 2.75 MB
Statistics
  • Stars: 9
  • Watchers: 1
  • Forks: 1
  • Open Issues: 21
  • Releases: 2
Topics
genetic-algorithm genetic-algorithm-framework genetic-algorithm-python optimisation parallel-computing parallel-programming qkd qkd-optimisation qkd-protocol qkd-simulator simulation
Created over 3 years ago · Last pushed 4 months ago
Metadata Files
Readme License Citation

README.md

Welcome to the PyQKD package for Quantum Key Distribution protocols simulation and optimisation with Parallel Genetic Algorithms.

This repository was created as a side result of various research projects conducted at the International Centre for Theory of Quantum Technologies. The problem which led to writing a universal framework of a parallel genetic algorithm was a multi-variable optimisation problem of the QKD in quantum cryptography. Thus, some files for simulating BB84 protocol can be found in here, including an computationally optimised approach to the post-processing of data, especially the error correction stage. However, the main scope of this project now and in the coming weeks is creating a pyqkd.genal package which will provide Users with a framework for applying a Parallel Genetic Algorithm to any problem they may have.

I'm happy to collaborate with more people, so please feel free to join! Cheers, Jakub

Owner

  • Login: gnypit
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Gnyp"
  given-names: "Jakub Tomasz"
  orcid: "https://orcid.org/0009-0007-4355-1514"
title: "PyQKD repo for Quantum Key Distribution protocols optimisation with Parallel Genetic Algorithms"
version: v0.1.1
date-released: 2025-04-28
url: "https://github.com/gnypit/pyqkd"

GitHub Events

Total
  • Create event: 9
  • Release event: 2
  • Issues event: 47
  • Watch event: 2
  • Delete event: 11
  • Member event: 1
  • Issue comment event: 49
  • Push event: 81
  • Pull request review comment event: 1
  • Pull request review event: 8
  • Pull request event: 25
  • Fork event: 3
Last Year
  • Create event: 9
  • Release event: 2
  • Issues event: 47
  • Watch event: 2
  • Delete event: 11
  • Member event: 1
  • Issue comment event: 49
  • Push event: 81
  • Pull request review comment event: 1
  • Pull request review event: 8
  • Pull request event: 25
  • Fork event: 3

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 32
  • Total pull requests: 12
  • Average time to close issues: 25 days
  • Average time to close pull requests: 1 day
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 0.31
  • Average comments per pull request: 0.08
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 32
  • Pull requests: 12
  • Average time to close issues: 25 days
  • Average time to close pull requests: 1 day
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.31
  • Average comments per pull request: 0.08
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • gnypit (29)
  • alguiguilo098 (3)
Pull Request Authors
  • gnypit (8)
  • alguiguilo098 (4)
Top Labels
Issue Labels
enhancement (17) good first issue (7) bug (6) help wanted (3) Urgent (2) documentation (2) wil idea (1) merging & rebasing (1)
Pull Request Labels
enhancement (3) merging & rebasing (1)