Quantum AI: The Next Leap in Physics Intelligence, Research, Ecosystem, and Building Community

Accurate theoretical models and powerful simulations are increasingly crucial for innovation in vital sectors like healthcare, electric vehicles, new materials, and chemistry. However, classical computers face significant challenges in scalability and accuracy, as exemplified by the computationally intensive simulation of induced rotational-vibrational transitions in CO2-He collisions—a key focus of my PhD research at Radboud University. Quantum AI, a nascent field merging quantum physics and artificial intelligence, offers a potential solution. It promises AI models capable of learning the underlying physics of systems, large and small, and tackling currently intractable problems. Realizing this potential requires deep expertise in quantum physics, quantum computing, and machine learning, along with the development of models trainable on quantum data and predictive of quantum system behavior. Furthermore, a robust community of researchers, developers, and practitioners is essential for sharing knowledge, tools, and best practices. This talk will explore: the complexities of chemistry simulations and the need for accurate theoretical models; the expected performance from quantum computers; the current state of Quantum AI research; illustrative use cases in chemistry simulations; the emerging Quantum AI community and ecosystem developed by Quantum AI Lab/iQafé in collaboration with the Bibliotheca Alexandrina; and the vital role of community activities, such as hackathons, in fostering a thriving Quantum AI ecosystem. Dr. Taha Selim is a quantum information and quantum machine learning researcher with a strong background in quantum mechanics, quantum chemistry, and machine learning. He holds a Ph.D. in Quantum Theoretical and Computational Chemistry from Radboud University, an MSc in Physics, Lasers, and Materials from Universite de Bourgogne, and a BSc in Physics/Mathematics from The American University in Cairo. Currently, he serves as a Quantum Education Officer at the Amsterdam University of Applied Sciences and as the General Manager of MolKet SAS, a company specializing in management consulting and AI services for quantum molecular dynamics, cryptography, and neuromorphic-based computing. Dr. Selim's extensive experience includes developing quantum algorithms for quantum chemistry simulations and quantum machine learning, as well as presenting research at international conferences. Dr. Selim possesses a powerful analytical mind, demonstrated through his aptitude for problem-solving and critical thinking within the complex fields he works. His proficiency extends to technical skills such as Fortran, Python, C++, Matlab, machine learning libraries, and high-performance computing. Furthermore, he demonstrates strong interpersonal competencies, including exceptional communication, teaching, and leadership skills. This is evident in his role as a co-founder of iQaf'e, an online platform for teaching quantum computing and AI, and as a tech YouTuber with channels in English and Arabic, where he makes complex topics accessible to diverse audiences.