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Quantum AI Lab Tutorials 2025

Quantum Machine Learning (QML) Track

12-Week Introduction to Quantum Computing Series

📅 Schedule. Every Saturday, 20.00–22.00 EET (Cairo Time)
📺 Full Playlist. https://youtube.com/playlist?list=PLbzgihkqSogoAmQAa3BONV1NhK-0k5Rqh&si=Q5JNmE3X2yF7b2nk
📆 Next Live Session. https://calendar.app.google/QsHKPik3DE3DYrZF8 🎓 Language. Arabic


🔭 About the Track

This track is designed as a comprehensive introduction to quantum computing. It builds the foundational concepts and skills required to understand quantum machine learning.

The journey begins with essential mathematical tools and proceeds through quantum phenomena, algorithms, and protocols. By the end, participants will have a solid grounding in quantum theory and be ready to continue with QML-specific sessions.


🧩 Curriculum Overview

Each session is two hours and delivered live on the scheduled date. Recordings will be available on YouTube afterward.

  1. Foundations of Quantum Computing and Linear Algebra Review
  2. Quantum States and Measurement Basics
  3. Single-Qubit Gates and Multi-Qubit Systems
  4. Quantum Circuits and Measurement Outcomes
  5. Quantum Communication Protocols. Teleportation and Superdense Coding
  6. Early Quantum Algorithms. Deutsch, Bernstein.Vazirani, and Simon
  7. Grover’s Algorithm. Quantum Search and Amplitude Amplification
  8. Quantum Fourier Transform (QFT)
  9. Quantum Phase Estimation (QPE)
  10. Shor’s Algorithm. Factoring with Quantum Period Finding
  11. Quantum Error Correction and Future Directions

🎓 Coordinators and Speakers

  • Track Coordinator. Abdelrahman Elsayed, Quantum AI Labs QML Track
  • Instructors. Invited experts and contributors from the iQafé and EgQCC communities

🌐 About EgQCC

The Egypt Quantum Computing Community (EgQCC) is a growing network that supports learners and professionals interested in quantum technologies.
We offer

  • Learning resources
  • Technical workshops
  • Community discussions
  • Research collaboration
  • Industry connections

Our goal is to empower and connect quantum pioneers in Egypt and beyond.


🗂️ How This Repository Is Organized

  • Each session has its own folder.
  • Session folders contain slides, notes, code samples, and reference materials.
  • Session recordings are linked in the corresponding folder’s README file.

🏷️ Tags

quantum computing, quantum machine learning, quantum physics, education, programming, open learning, Egypt, QML tutorials

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