GitHub - Kernel-Dirichlet/genetic_quantum_circuit: proof-of-concept showing we can use genetic algorithms to evolve quantum circuits in Python

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proof-of-concept showing we can use genetic algorithms to evolve quantum circuits in Python

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
genetic_quantum_circuit		genetic_quantum_circuit
LICENSE		LICENSE
README.txt		README.txt
block_sphere.png		block_sphere.png
evolve_quantum_circuit.py		evolve_quantum_circuit.py
full_adder.png		full_adder.png
gate_functional.py		gate_functional.py
gate_objects.py		gate_objects.py
gate_operator.gif		gate_operator.gif
gates.png		gates.png
genetic_quantum_programming.py		genetic_quantum_programming.py
half_adder.png		half_adder.png
quantum_genetic_notebook.ipynb		quantum_genetic_notebook.ipynb

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##########README FILE FOR QUANTUM GENETIC PROGRAMMING###############################


The purpose of this repo is to show that genetic/evolutionary algoriths have the power to remove the need for human engineers to hand craft 
quantum circuits. This repo features the evolution of basic quantum gates operating on single and multi-qubit systems. A Jupyter Notebook is
included to discuss the purposes of the project and the code in more detail. Contributors are more than welcome to submit upgrades and updates to this repo
through Pull Requests (PRs). Ideally, if users decide to fork the repository to apply the genetic programming code to classical circuits, or other
engineering/scientific problems, they will attribute credit to this repo. While I plan on maintaining this repo and updating it from time to time, I plan
on doing this project in Julia rather than Python, so the bulk of my focus will go there.