qiskit-community

[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Quantum Algorithms & Applications (**DEPRECATED** since April 2021 - see readme for more info)

Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.

Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.

Labs for QGSS 2025. Lectures notes can be found in a separate repo: https://github.com/qiskit-community/qgss-2025-lecture-notes

Quantum Finance

Quantum Optimization

Quantum Challenge problem sets

For IBM Quantum Challenge 2024 (5-14 June 2024)

Qiskit Experiments

A library of quantum algorithms for Qiskit.

Ignis (deprecated) provides tools for quantum hardware verification, noise characterization, and error correction.

For IBM Quantum Challenge 2021 (May 20 - 26)

Home of Qiskit documentation translations

For IBM Quantum Challenge Spring 2023

For IBM Quantum Challenge Fall 2021

Original versions of the exercises

Qiskit quantum error correction framework

All things Qiskit Global Summer School 2023: Theory to Implementation - Lecture notes, Labs and Solutions

DEPRECATED - Tools for building and solving models of quantum systems in Qiskit

For IBM Quantum Fall Challenge 2022

Qiskit (Quantum Information Science Kit) for JavaScript

Qiskit Global Summer School 2024: The Path to Utility

Lecture notes for Qiskit Global Summer School 2025

A self-paced, quantum computing learning journey for high school students and above.

Awesome Qiskit presentations

Research using Qiskit.

Thin and vendor agnostic layer to access, control and monitor underlying on-prem or cloud quantum computers

Qiskit provider for IonQ backends

Automatic mapping of compiled circuits to low-noise sub-graphs

Slurm Spank plugins for Quantum resources and jobs support

Grading client for the IBM Quantum Challenges

Library for solving quantum computing problems using machine learning

intro-to-quantum-computing-and-quantum-hardware

For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).

Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):

A collection of guidelines to run quantum optimization algorithms on superconducting qubits with Qiskit, using as reference the Quantum Approximate Optimization Algorithm (QAOA) workflow.