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TJ Quantum Research Lab's Implementation of the ADAPT-VQE Algorithm

Git Specific Instructions

  • One branch for each team, sampling_noise, tups_pool, and quantum_numbers
  • First create a fork for each user
  • Create commits and on the fork and collaborate with members in the same team
    by pull requesting those commits from your fork into your team-specific branch
  • Once your team is happy with a change, create a pull requests from your branch
    in the main repository to the main branch in the main repository
  • In your pull requests, make sure to reference what issuue you are closing, i.e.
    Closes #01234 in the pull requests title / squashed commit messages
  • Commit formatting should be like action(section): more detailed message, i.e.
    feat(adaptvqe): create the training loop
  • Merged commits into the main branch should be squashed into a singular commit
    representing one feature / closed issue