Skip to content

README.md

Latest commit

 

History

History
46 lines (31 loc) · 1.08 KB

README.md

File metadata and controls

46 lines (31 loc) · 1.08 KB

IBM Qiskit Tutorials

Hands-on Jupyter notebooks to learn quantum computing with Qiskit and IBM Quantum.

Repo Description

Practical Qiskit tutorials that cover setup, circuits, primitives, dynamic circuits, and contribution basics.

Topic Tags

qiskit, ibm-quantum, quantum-computing, python, jupyter-notebook, tutorials, dynamic-circuits

Tutorials

  • Episode 2: Installation
  • Episode 3: Hello World
  • Episode 4: Primitives
  • Episode 5: Dynamic Circuits
  • Episode 6: Contributing

Quick Start

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

IBM Quantum Token

  1. Sign in at quantum.ibm.com.
  2. Copy your API token from account settings.
  3. Put the token in config.py.

Security

config.py contains private credentials and is ignored by git. Do not commit it.

Requirements

  • Python 3.8+
  • Qiskit
  • Jupyter Notebook
  • IBM Quantum account