Exploring Quantum Machine Learning - Near-Term Algorithms and Applications

Explore quantum machine learning fundamentals in this 53-minute lecture from the 2024 Qiskit Global Summer School, focusing on near-term algorithms and practical applications. Gain insights into both classical and quantum machine learning concepts before diving into the implementation of variational quantum circuits as classifiers. Master the principles of quantum kernels and support vector machines, and discover the potential of quantum neural networks. Access hands-on examples and practical exercises through the accompanying GitHub repository to reinforce learning and develop real-world quantum computing skills. Part of a comprehensive two-week intensive program designed to prepare researchers, developers, and industry professionals for the emerging quantum utility era.