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