Quantum Machine Learning

Free6 videosQuantum AI Lab 2026

Progress from data science and classical machine learning to quantum support vector machines, quantum neural networks, and practical QML sessions.

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.

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What you will explore

Data science and classical ML foundations
Introduction to quantum machine learning
Quantum support vector machines
Quantum neural networks and practicals

Before you begin

Familiarity with basic data science, linear algebra, and quantum circuits will help you follow the series.

Looking for the earlier edition? Explore the 2025-2026 lab collection for quantum computing and algorithm foundations.

Choose a lab video

Select Watch video from a lesson below.

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

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Lab videos

Session 1

Data Science Foundations

Start with the data science foundations that support the quantum machine learning track.

Published: 22 February 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

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Session 2

Data Scientist & Classical Machine Learning Fundamentals

Explore classical machine learning fundamentals and the data scientist's perspective before moving into quantum approaches.

Published: 23 February 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

YouTube (new tab)

Session 3

Introduction to Quantum Machine Learning

Connect the classical foundations to quantum machine learning and the role of quantum computing in learning workflows.

Published: 16 March 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

YouTube (new tab)

Session 4

Quantum Support Vector Machines

Explore the quantum support vector machine approach and its connection to support vector classification.

Published: 26 March 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

YouTube (new tab)

Session 5

Quantum Neural Networks

Learn about quantum neural networks as the next model family in the quantum machine learning series.

Published: 26 March 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

YouTube (new tab)

Session 6

Quantum Machine Learning Practicals

Follow practical demonstrations that bring the track's quantum machine learning topics together.

Published: 26 March 2026

Coordinator: Eng. Abdelrahman Elsayed — Quantum Software Engineer Intern, Brightskies; Director of Education, Egypt Quantum Computing Community; MSc student, Alexandria University
Session instructor: Eng. Sama Samer — AI Engineer, Machine Learning & Data-Driven Solutions; institutional affiliation not specified
Host: Eng. Menna Abd-ElGawad — AI/ML Engineer, Fusion Minds AI; MSc student, AAST

YouTube (new tab)

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