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QuantumPrimer.jl

Julia package for convenient quantum computing and quantum machine learning routines.

Run minimal working examples

Find Julia notebooks of minimal working examples in the folder notebooks.

Contributions

  1. Open a branch with a name suggesting the feature that is being implemented, e.g. "qcnn-invariant"
  2. Work on the branch to implement the feature
  3. Once the feature is complete, open a pull request to merge with main and WAIT for someone to check the pull request
  4. Do not enforce any merge, ever!

Repo structure

  • .github/workflows: contains the yml file to build the documentation and commit on the gh-pages branch
  • docs: contains make.jl and index.md for the generation of documentation
  • runs: contains run files which can be used as a template to run the code
  • notebooks: contains Julia notebooks with minimal working examples and showcasing of applications
  • src: contains the source code

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[package] Julia package for convenient quantum computing and quantum machine learning routines.

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