2023_planning_ionq

IonQ's repository for iQuHACK 2023 (private planning)

Working on qBraid

If you're working on qBraid, first fork this repository and click the above Launch on qBraid button. It will take you to your qBraid Lab with the repository cloned.
Once cloned, open terminal (first icon in the Other column in Launcher) and cd into this repo. Set the repo's remote origin using the git clone url you copied in Step 1, and then create a new branch for your team:

cd  <ionq_git_repo_name>
git remote set-url origin <url>
git branch <team_name>
git checkout <team_name>

Use the environment manager (ENVS tab in the right sidebar) to install environment "IonQ". The installation should take ~2 min.
Once the installation is complete, click Activate to add a new ipykernel for "IonQ".
From the FILES tab in the left sidebar, double-click on the IonQ repository directory.
Open and follow instructions in verify_setup.ipynb to verify your "IonQ" environment setup.
You are now ready to begin hacking! Work with your team to complete the challenges.

For other questions or additional help using qBraid, see Lab User Guide, or reach out on Discord.

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
data		data
in-person		in-person
mock_data		mock_data
.DS_Store		.DS_Store
MIT iQuHACK remote challenge .docx		MIT iQuHACK remote challenge .docx
MIT iQuHACK remote challenge .pdf		MIT iQuHACK remote challenge .pdf
PART2_CLASSIFICATION.ipynb		PART2_CLASSIFICATION.ipynb
README.md		README.md
mock_data_creator.ipynb		mock_data_creator.ipynb
part1_example_cirq.ipynb		part1_example_cirq.ipynb
part1_example_qiskit.ipynb		part1_example_qiskit.ipynb
part2_example_cirq.ipynb		part2_example_cirq.ipynb
part2_example_qiskit.ipynb		part2_example_qiskit.ipynb
quantum_classifier.pickle		quantum_classifier.pickle
quantum_classifier.qasm		quantum_classifier.qasm
requirements.txt		requirements.txt
test.py		test.py
test_qiskit.py		test_qiskit.py