Hands-on Jupyter notebooks to learn quantum computing with Qiskit and IBM Quantum.
Practical Qiskit tutorials that cover setup, circuits, primitives, dynamic circuits, and contribution basics.
qiskit, ibm-quantum, quantum-computing, python, jupyter-notebook, tutorials, dynamic-circuits
- Episode 2: Installation
- Episode 3: Hello World
- Episode 4: Primitives
- Episode 5: Dynamic Circuits
- Episode 6: Contributing
conda create -n qiskit-env-py310 python=3.10
conda activate qiskit-env-py310
pip install qiskit qiskit-ibm-runtime qiskit_aer 'qiskit[visualization]' 'qiskit[machine-learning]'
cp config_template.py config.py
jupyter notebook- Sign in at quantum.ibm.com.
- Copy your API token from account settings.
- Put the token in
config.py.
config.py contains private credentials and is ignored by git. Do not commit it.
- Python 3.8+
- Qiskit
- Jupyter Notebook
- IBM Quantum account