The Quantum AI Monthly Series is an ongoing initiative co-organized by the Bibliotheca Alexandrina and iQafé, aimed at building awareness, skills, and community around the fast-evolving intersection of quantum computing and artificial intelligence.
Launched in December 2024, these monthly sessions underscore the BA’s commitment to advancing technological literacy and providing a platform for experts and enthusiasts to engage with cutting-edge developments in quantum computing and AI.
watch now YouTube Channel
The first Quantum AI monthly series highlighted the Bibliotheca Alexandrina role in advancing HPC, Big Data, and its new CERN partnership. It introduced core quantum computing concepts such as superposition, entanglement, and diverse hardware architectures. Finally, it explored Quantum AI, where intelligent agents optimize complex tasks across classical and quantum systems.
The video introduced the Quantum Permutation Pad (QPP) as a quantum‑based encryption method and discussed IBM’s open‑source AI foundation models. The video provides a comprehensive overview of the emerging field of Quantum Machine Learning (QML), detailing the foundational quantum principles and demonstrating how to implement QML models using the open-source Qiskit framework.
The video dives into quantum modelling for complex simulations, quantum agents for intelligent decision-making, and the broader vision of integrating quantum computing with AI, framed within an international collaborative effort.
The session explored quantum leadership, energy limitations in quantum computing, and advances in surface codes. It highlighted developments in quantum AI agents, IBM Quantum technologies, and emerging quantum industry ecosystems. The program also discussed innovation pathways through platforms like Q‑Foundry and the broader future of quantum technologies.
The discussion highlighted regional initiatives like Egypt’s Quantum Hackathon and training programs, alongside industry adoption efforts in MENA. Speakers highlighted challenges in building resilient HPC systems, alongside applications in chemistry, biosciences, and quantum optimization software. It concluded with insights into IBM’s quantum ecosystem and announcements of a quantum hackathon and summer school.
The sixth Quantum AI monthly series spotlighted global efforts in quantum education, technologies, research and quantum job market size. Highlights included the Alexandria Hackathon, QEgypt mission, advances in Tunisia, and IBM’s new quantum algorithms. An innovative talk explored inspiring youth through quantum-themed video games, noting latency challenges with real quantum systems.
The session discussed advancements in quantum processing, focusing on the QPP-RNG. It highlighted demonstrations of the Quantum Permutation Pad (QPP) from simulations to real QPU applications and explores quantum computing's role in chemistry simulations and cybersecurity. Finally, it addressed the future of cybersecurity in light of quantum advancements, emphasizing implications beyond the anticipated "Q-Day".
The eighth Quantum AI series introduced a Computational Research Forum linking HPC services with the Quantum AI lab.
Talks covered quantum simulations for chemistry and astronomy, particle track reconstruction at LHCb, and roadmap reviews.
Industry applications included quantum ML for healthcare digital twins, alongside emphasis on education and post-quantum cryptography.
The video highlighted advances in quantum machine learning, sensing, and benchmarking for AI, science, and precision applications.
It showcased healthcare, navigation, and environmental uses of quantum sensors, alongside methods to assess quantum hardware reliability.
Community efforts included the launch of the Quantum Computing Forum at Bibliotheca Alexandrina and an open Q&A on accessibility.
This video is the 10th edition of the Quantum AI series, summarizing 2025 as the “Year of Quantum.” It highlights expert talks on quantum computing energy use, quantum AI applications, and quantum sensing, ending with a roundtable on the future of hybrid quantum-classical systems.