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This project is a beginner-level tutorial notebook for learningQuantum Computing usingIBM'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 ofQuantum Technologies as a Master’s student in Embedded Systems Electronics.

This content is based onLesson 1 from theIBM Quantum Learning Course: Basics of Quantum Information, adapted and annotated with additional explanations, visualizations, and simulations to reinforce understanding.

All Qiskit-based examples, includingStatevector,Operator,QuantumCircuit, and measurement simulations, are demonstrated clearly.

• Understanding and visualizing quantum states.
• Performing quantum measurements and interpreting probabilities.
• Applying unitary transformations usingOperator.
• Creating and evolving quantum circuits withQuantumCircuit.
• Simulating quantum experiments and visualizing results withplot_histogram.

I’mImene Belkorchia, a Master’s student inEmbedded 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 ofquantum programming, and I’m committed to sharing my learning journey openly with the global tech community. 🌍

1. Open thequantum_intro_lesson1.ipynb notebook inGoogle Colab or Jupyter.

2. Make sure Qiskit is installed using:

   !pip install qiskit

3. 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