Qiskit Tutorials

Uses Jupyter notebooks for hands-on, practical learning, allowing users to write and run quantum code directly, as highlighted in the key features and contents.

Covers a wide range from basic circuits to advanced algorithms and simulators, evidenced by the folder structure like circuits, algorithms, and simulators.

Shows execution on IBM Quantum processors and local simulators, bridging theory and implementation, as stated in the philosophy and contents.

Includes a separate repository for community-contributed tutorials, fostering a collaborative learning ecosystem, mentioned in the contents section.

Provides tools to convert notebooks into HTML documentation using Sphinx and Tox, useful for creating structured educational materials, as described in the building documentation section.