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Egyptian Air Quality Prediction Quantum Competition

Quantum computing is a transformative technology with the power to solve complex, large-scale problems far beyond the capacity of traditional supercomputers. Not only does it offer a computational leap, but it is also energy-efficient, presenting a sustainable alternative to today's power-intensive AI infrastructure.

This national competition addresses a critical issue: air pollution in Egypt. In 2021, Egypt recorded over 115,700 deaths related to particulate matter (PM2.5) exposure.

Aligned with the UN Sustainable Development Goals (SDGs)—notably Goal 3 (Good Health and Well-Being) and Goal 11 (Sustainable Cities and Communities)—this initiative supports sustainable, data-driven solutions to mitigate health risks and improve air quality.

Limited Seats Available – Early Applicants Get Priority!

Be part of the first nationwide initiative to harness quantum computing for predicting PM2.5 pollution levels in Egypt.

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Partners

Egyptian Air Quality Prediction Quantum CompetitionWho Should Apply?

  • Undergraduate and postgraduate students from Egypt
  • Researchers in quantum computing, AI, or environmental sciences
  • No prior quantum experience required!

Why Join?

  • Free, ASRT-funded training program
  • Certificate of completion and chance to win cash prizes
  • Contribute to solving one of Egypt's most urgent environmental challenges
  • Engage with leading academics and industry professionals

 

Agenda

July 13–22, 2025

Location: Nile University (Hybrid Format)

Topics Covered:

  • Quantum Mechanics & Quantum Computing Basics
  • Quantum Neural Networks & Noise Theory
  • Introduction to Particulate Matter Estimation
  • Quantum AI Frameworks: Qiskit and PennyLane

Daily Activities:

  • Expert-led lectures from global and Egyptian institutions
  • Daily hands-on labs using real-world satellite data
  • No prerequisites—designed for beginners and experts alike

Kickoff: July 22, 2025

  • Apply quantum and AI skills learned in the Summer School
  • Predict PM2.5 levels across Egypt using historical satellite data
  • Compete for national recognition and cash prizes
  • Full competition guidelines and datasets to be released at launch

Summer School Schedule

Date

Day

Topic

Time & Activities

Jul 13

Day 1

Competition and Summer School Lunch and Opening

09:00–10:00: VIP Reception and keynote talks

10:00–10:30: Coffee Break

Jul 13

Day 1

Intro to Quantum Mechanics & Computing

10:30–12:00: Two-Slit Experiment
12:00–13:30: Quantum Circuit Model
14:00–15:30: Qiskit Lab

Jul 14

Day 2

Intro to Quantum Mechanics & Computing

09:00–10:30: Wave Equation
11:00–12:30: Quantum Systems Composition
13:30–15:30: Pennylane Lab

Jul 15

Day 3

Quantum Systems

09:00–10:30: Processor Tech 1
11:00–12:30: Processor Tech 2
13:30–15:30: Physical QC Lab

Jul 16

Day 4

Quantum Noise

09:00–10:30: Quantum Noise Theory
11:00–12:30: Fault-Tolerant QC
13:30–15:30: Pennylane with Noise Lab

Jul 17

Day 5

Machine Learning

09:00–10:30: ML Foundations 1
11:00–12:30: ML Foundations 2
13:30–15:30: ML Lab

Jul 20

Day 6

Quantum Machine Learning

09:00–10:30: Variational Circuits 1
11:00–12:30: Variational Circuits 2
13:30–15:30: Pennylane Lab

Jul 21

Day 7

Advanced QML

09:00–10:30: QML Challenges 1
11:00–12:30: QML Challenges 2
13:30–15:30: Pennylane Lab

Jul 22

Day 8

PM2.5 Estimation from Satellite

09:00–10:30: Satellite Imaging
11:00–13:00: Data Acquisition Lab
14:00–16:30: Competition Problem Kickoff

Objectives:

  • Predict PM2.5 levels using historical satellite data
  • Forecast timing and locations of extreme air pollution events
  • Compare classical AI and quantum approaches
  • Build national capacity in quantum applications for environmental science

Competition Details:

  • Starts July 22, 2025
  • Participants will be guided to develop quantum models
  • Winners will receive national recognition and cash prizes

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