Session 8. Quantum Fourier Transform (QFT) in Arabic | Taha Selim & Abderlrahman Elsayed скачать в хорошем качестве

Session 8. Quantum Fourier Transform (QFT) in Arabic | Taha Selim & Abderlrahman Elsayed

Welcome to the Quantum AI Lab Tutorials 2025. This session explores the Quantum Fourier Transform. Its role in quantum algorithms. And how phase information is encoded and processed in quantum states. 🌐 This session is part of the Quantum AI Labs Introduction to Quantum Computing Track. 📅 Recorded on January 3rd, 2026. 🕗 Duration. 20.00 to 22.00 EET. 🇪🇬 Language. Arabic. 🔍 What You’ll Learn •⁠ ⁠The discrete Fourier transform in the quantum setting and why QFT is efficient •⁠ ⁠The intuition behind phase encoding and periodic structure in quantum states •⁠ ⁠How QFT circuits are constructed using Hadamard and controlled phase gates •⁠ ⁠The inverse QFT and how it allows us to extract phase information •⁠ ⁠Applications of QFT. phase estimation. order finding. the foundation of Shor’s algorithm •⁠ ⁠Hands.on circuit construction and simulation of QFT using Qiskit 👨‍🏫 Instructor Dr. Taha Selim. General Manager of MolKet SAS and Founder of iQafé 🎓 Track Coordinator Abdelrahman Elsayed. Coordinator of the Quantum AI Labs QML Track. 📌 Join the Journey No prior experience is required. This session builds directly on quantum gate fundamentals. It prepares you for deeper topics in quantum algorithms and computational complexity within the Introduction to Quantum Computing Track. 🔗 Access the Recording and Materials All resources for this session. Including the recording and slides. Are available here. https://github.com/QuantumAI-lab/-Qua... 📎 Follow iQafé on LinkedIn for updates and research insights. https://www.linkedin.com/company/iqaf... 📬 For feedback. collaboration. or questions. Leave a comment below or connect via LinkedIn. ➡️ Don’t forget to like. Subscribe. And hit the notification bell for upcoming tutorials. #QuantumComputing #QuantumAlgorithms #QFT #QuantumFourierTransform #QuantumAI #ArabicTech #Education #STEM #QML