A comprehensive collection of Jupyter notebooks covering the essential topics for Qiskit certification and quantum computing development with IBM's Qiskit framework.
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Mentors:
This repository was developed as part of the QAMP (Qiskit Advocate Mentorship Program) 2025 initiative. The project aims to create a comprehensive set of Jupyter notebooks to help learners prepare for the Qiskit v2.X certification exam while serving as a valuable community resource for developers transitioning to the new version.
- Provide hands-on coding exercises aligned with the official Qiskit certification study guide
- Create accessible learning material for the quantum computing community
- Support candidates preparing for the certification exam with example problems and solutions
- Help onboard developers to Qiskit v2.X with practical, well-documented examples
This repository contains hands-on examples and practical implementations organized into 8 core sections, covering everything from basic quantum operations to advanced OpenQASM programming and quantum primitives.
Introduction to fundamental quantum operations and circuit mechanics.
1_Pauli_Operators.ipynb- Understanding Pauli matrices and their applications2_1_Standard_Gates.ipynb- Working with standard quantum gates2_2_Advanced_Circuits.ipynb- Building complex quantum circuits2_3_Quantum_Operations_FeatureMaps.ipynb- Feature maps for quantum machine learning2_4_Circuit_Mechanics.ipynb- Deep dive into circuit construction and manipulation
Techniques for visualizing and understanding quantum circuits.
- Circuit visualization methods
- State visualization
- Measurement outcome analysis
Programmatic circuit creation and design patterns.
- Circuit construction techniques
- Parameterized circuits
- Circuit composition and modularity
Executing quantum circuits on simulators and real quantum hardware.
- Backend selection and configuration
- Job management
- Result retrieval
Working with Qiskit's Sampler primitive for quantum measurements.
1_Set_Sampler_options.ipynb- Configuring Sampler options and settings (offline-ready)2_Understand_Sampler_Theory.ipynb- Theoretical foundations of the Sampler primitive
Leveraging the Estimator primitive for expectation value calculations.
- Estimator configuration
- Observable measurements
- Error mitigation techniques
Processing and interpreting quantum computation results.
- Data extraction methods
- Result analysis techniques
- Performance metrics
Understanding and utilizing OpenQASM for quantum programming.
1_Structure_Types_QASM.ipynb- QASM structure and type system2_Interpret_QASM_semantics.ipynb- Semantic interpretation of QASM3_Ineroperate_QASM_QISKIT.ipynb- QASM-Qiskit interoperability4_Use_Qiskit_REST_API.ipynb- Working with Qiskit's REST API
- Python 3.9 or higher
- pip package manager
- Git (for cloning the repository)
Creating a virtual environment ensures isolated dependencies and reproducibility:
# Clone the repository
git clone https://github.com/kibrahim757/qiskit_2x_certification_exam_tutorial.git
# Create a virtual environment
python -m venv qiskit_env
# Activate the virtual environment
# On macOS/Linux:
source qiskit_env/bin/activate
# On Windows:
# qiskit_env\Scripts\activate
# Install dependencies
pip install -r qiskit_2x_certification_exam_tutorial/requirements.txt
# Launch Jupyter Notebook
jupyter notebookIf you prefer to install packages globally:
# Clone the repository
git clone https://github.com/kibrahim757/qiskit_2x_certification_exam_tutorial.git
# Install dependencies
pip install -r qiskit_2x_certification_exam_tutorial/requirements.txt
# Launch Jupyter Notebook
jupyter notebookOnce Jupyter is running, navigate to any section folder and open the desired notebook. All notebooks are self-contained and can be run cell-by-cell.
For optimal learning, follow the sections in order:
- Start with Section 1 to build a strong foundation in quantum operations
- Progress through Sections 2-4 to master circuit creation and execution
- Dive into Sections 5-6 to understand Qiskit's modern primitive-based workflow
- Explore Sections 7-8 for advanced topics in result analysis and OpenQASM
- Environment Management: Includes
requirements.txtfor easy dependency installation and virtual environment support - Offline-Ready: Most notebooks work without IBM Quantum cloud access, using local simulators
- Comprehensive Coverage: Aligned with Qiskit certification exam topics
- Practical Examples: Hands-on code demonstrations with detailed explanations
- PDF Exports: Select notebooks include PDF versions for easy reference
- Certification Preparation: Study material for Qiskit developer certification
- Learning Resource: Self-paced learning for quantum computing beginners
- Reference Guide: Quick lookup for Qiskit syntax and best practices
- Teaching Material: Educational resource for quantum computing courses
Contributions are welcome! If you find errors or have suggestions for improvements:
- Fork the repository
- Create your feature branch (
git checkout -b feature/improvement) - Commit your changes (
git commit -am 'Add improvement') - Push to the branch (
git push origin feature/improvement) - Open a Pull Request
This project is open source and available for educational purposes.
For questions or feedback, please open an issue in this repository.
Note: This repository is designed for educational purposes and is regularly updated to reflect the latest Qiskit best practices and API changes.