Introducing quantum artificial intelligence (QAI) in education

Baltezarević, Radoslav (2025) Introducing quantum artificial intelligence (QAI) in education. In: 5. Bi̇lsel international korykos scientific researches and innovation congress book. Bilsel Kongreleri, Mersi̇n/Turkey, pp. 390-393. ISBN 978-625-96953-0-3

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Abstract

Artificial intelligence (AI) solutions for education can offer personalized and adaptable learning programs through the utilization of sophisticated algorithms and large data sets. AI-driven education is challenging traditional teaching strategies and shaping the future of technology use in the field. AI systems can produce insights that enable collaborative decisionmaking and early intervention techniques by analysing data from many sources, including student performance, attendance records, and behaviour patterns. The nexus of quantum computing and artificial intelligence, or QAI, is a technological synergy that should yield substantial advantages for both fields. In contrast to binary bits, which are used in conventional AI, quantum bits, or qubits, are multi-state entities that can exist simultaneously. This capability makes it possible for quantum AI to solve complex problems with exponential efficiency. Quantum artificial intelligence has the potential to completely alter the educational landscape. Although AI offers the framework for effective and personalized learning, quantum computing has the potential to expand these possibilities. Quantum artificial intelligence integration in education does, however, also bring with it serious privacy, security, and ethical issues, which call for a calculated approach to reduce dangers and responsibly maximize rewards.

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