evolving_quantum_circuits
Application of genetic algorithm to quantum computing.
Science Score: 57.0%
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
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Keywords
Repository
Application of genetic algorithm to quantum computing.
Basic Info
Statistics
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Evolving Quantum Circuits
🧬 Application of genetic algorithm to quantum computing 🧬
Summary
About
This repository stores the scripts made to explore genetic algorithms (GA) as a tool to evolve quantum circuits. GA mimic the evolutionary process of natural selection displayed by nature to solve optimization problems.
Publications
Tandeitnik, D., & Guerreiro, T. (2022). Evolving Quantum Circuits. arXiv. https://doi.org/10.48550/arXiv.2210.05058 Tandeitnik, D. R. (2022). Evolving Quantum Error Correction Codes (Master dissertation, PUC-Rio). https://www.maxwell.vrac.puc-rio.br/59800/59800.PDF
Author

Daniel Ribas Tandeitnik
MSc in Physics.
Feel free to get in touch with me.
Owner
- Login: tandeitnik
- Kind: user
- Repositories: 4
- Profile: https://github.com/tandeitnik
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Tandeitnik" given-names: "Daniel" orcid: "https://orcid.org/0000-0003-3276-9335" title: "Evolving Quantum Circuits" version: 1.0.0 doi: 10.5281/zenodo.1234 date-released: 2022-03-30 url: "https://github.com/tandeitnik/Evolving_Quantum_Circuits"
GitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1