About Event

The Exploring Hybrid Quantum-Classical Machine Learning programme focuses on the integration of quantum computing and classical machine learning to develop advanced computational solutions for complex problems. It introduces participants to the fundamentals of quantum computing, machine learning algorithms, and hybrid architecture that combines classical optimization with quantum circuit processing. Through hands-on experience with leading quantum software platforms such as Qiskit, the programme enables learners to design and implement hybrid models capable of addressing challenges in data analysis, optimization, and secure communications. By bridging the gap between emerging quantum technologies and established AI techniques, the programme prepares students and researchers to contribute to the next generation of intelligent computing systems