This project is a beginner-level tutorial notebook for learning Quantum Computing using IBM's Qiskit. It walks through the fundamental concepts like quantum states, measurements, unitary operations, and quantum circuits — all in code using Python and Qiskit.
This notebook is part of my personal journey into the world of Quantum Technologies as a Master’s student in Embedded Systems Electronics.
This content is based on Lesson 1 from the IBM Quantum Learning Course: Basics of Quantum Information, adapted and annotated with additional explanations, visualizations, and simulations to reinforce understanding.
All Qiskit-based examples, including Statevector, Operator, QuantumCircuit, and measurement simulations, are demonstrated clearly.
- Understanding and visualizing quantum states.
- Performing quantum measurements and interpreting probabilities.
- Applying unitary transformations using
Operator. - Creating and evolving quantum circuits with
QuantumCircuit. - Simulating quantum experiments and visualizing results with
plot_histogram.
I’m Imene Belkorchia, a Master’s student in Embedded Systems Electronics from Algeria 🇩🇿. I’m passionate about:
- Quantum computing 🧬
- Artificial intelligence 🤖
- Embedded systems and digital electronics ⚙️
This repository is part of my early steps in the field of quantum programming, and I’m committed to sharing my learning journey openly with the global tech community. 🌍
-
Open the
quantum_intro_lesson1.ipynbnotebook in Google Colab or Jupyter. -
Make sure Qiskit is installed using:
!pip install qiskit -
Run the code cells and experiment with the quantum operations.
This project is published under the MIT License. Feel free to use, modify, and share — but always credit the original authors (IBM Quantum) and contributors.
GitHub: cer-es
LinkedIn: Imene Belkorchia
Kaggle: Imene Belkorchia
- Python
- Qiskit
- Google Colab