← Back to Virtual Labs
Quantum Machine Learning 2025-2026 lab video thumbnail

Quantum Machine Learning 2025-2026

Free11 videosQuantum AI Lab

Build the quantum computing foundations behind the 2025-2026 track. The available sessions cover states, gates, communication protocols, major quantum algorithms, and error correction.

This lab is organized by iQafé and Bibliotheca Alexandrina with support from Egyptian Quantum Computing Community Initiative.

This lab is coordinated voluntarily. Lab instructors participate as volunteer members of the Egyptian Quantum Computing Community (EgQCC), without an employment relationship or financial compensation.

What you will explore

  • Quantum states, measurement, and circuit simulation
  • Teleportation and superdense coding
  • Grover, QFT, phase estimation, and Shor
  • Quantum error correction

Before you begin

Basic linear algebra and familiarity with qubits will help. Several sessions are explicitly presented in Arabic.

For the data science, QSVM, and neural network sessions, visit the separate Quantum Machine Learning 2026 track.

Choose a lab video

Select Watch video from a lesson below.

Each lesson includes a short summary and a direct YouTube link.

If the embedded player cannot play, use the YouTube link in a regular browser. Autoplay may require pressing Play.

Lab videos

Session 1

Foundations of Quantum Computing & Linear Algebra

Review the quantum computing and linear algebra foundations used throughout the lab series.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Ziad Tarek — Computational Engineer, iQafé
Session 2

Quantum States & Measurement Basics

Explore quantum states and the basics of measurement in an introductory session presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Eng. Omar Sobhy — AQC Core Team Member; Director of Digital Communication, EGQCC
Session 3

Single-Qubit Gates & Measurement

Study single-qubit gate operations and their relationship to measurement outcomes. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session 4

Multi-Qubit Gates & Quantum Circuit Simulation

Extend the single-qubit foundations to multi-qubit gates and simulated quantum circuits. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session 5

Teleportation & Superdense Coding

Explore two quantum communication protocols: teleportation and superdense coding. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session 6

Deutsch & Bernstein-Vazirani Algorithms

Study early quantum algorithms through the Deutsch and Bernstein-Vazirani examples. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session 7

Grover's Algorithm

Explore quantum search and amplitude amplification through Grover's algorithm. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Mohamed Masmoudi — Quantum AI Labs Instructor
Session 8

Quantum Fourier Transform

Learn about the quantum Fourier transform, a central component of several quantum algorithms. Presented in Arabic.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Dr. Taha Selim — General Manager, MolKet SAS; Founder, iQafé
Session 9

Quantum Phase Estimation

Explore quantum phase estimation and its place in the sequence of quantum algorithms introduced in the track.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Dr. Taha Selim — General Manager, MolKet SAS; Founder, iQafé
Session 10

Shor's Algorithm: Quantum Period Finding

Study the connection between quantum period finding and integer factoring in Shor's algorithm.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Eng. Mohamed Masmoudi — Quantum AI Lab Instructor
Session 11

Quantum Error Correction & Future Directions

Finish the collection with an introduction to quantum error correction and a discussion of future directions.

Published:

Coordinator
Abdelrahman Elsayed — Quantum AI Labs QML Track
Session instructor
Dr. Taha Selim — General Manager, MolKet SAS; Founder, iQafé; Lecturer and Researcher, Amsterdam University of Applied Sciences

Source: iQafé's Quantum AI Lab - Quantum Machine Learning 2025-2026 YouTube playlist. Videos are arranged in session order; summaries describe the published session topics.