PyQML-lab is your ready-to-start quantum algorithm development environment configuration. It runs Python, JupyterLab, Qiskit, and other required libraries and packages in a Docker container and automates the whole setup using scripts. Scripts automate executing all the commands you would normally need to run manually. For you can review and edit scripts, you get full control of your configuration at any time.
Last Update: Oct 24, 2024
The base image is published at Docker Hub. You can find the source code at GitHub.
Versions:
- Ubuntu 24.04
- Python 3.13.0
- JupyterLab 4.2.5
- Qiskit 1.2.4
The following picture shows pyqml-lab in action. Use it with two simple steps:
- Execute
bash {path_to_your_project}/run.sh - Open
localhost:8888from a browser
 |
| Using the JupyterLab configuration |
Inside Jupyterlab, open a terminal and run poetry add {package_name}.
You can also add the package to the pyproject.toml file and run poetry install.
You can add new packages to the lab.Dockerfile and restart Jupyterlab (stop any running container and run bash run.sh).
2024-10-24 v24.10.2
- Added git and JupyterLab git extension
- load .ssh-config when stored in
notebooks/.ssh/ - Added server config (allow to show hidden files)
2024-10-22 v24.10.1 - Initial Release