Exploring Quantum Machine Learning with Meltem Tolunay: Qiskit Summer School 2024

In this lecture, we discuss quantum machine learning, with a specific focus on near-term algorithms. After introducing classical and quantum machine learning, we show how a variational quantum circuit can be used as a classifier. In the second half of the lecture, we look at quantum kernels and support vector machines, and conclude the lecture with a discussion on quantum neural networks. -- The Qiskit Global Summer School is a two-week intensive summer program designed to empower the quantum researchers and developers of tomorrow with the know-how to explore the world of quantum computing, as well as refresh and sharpen the industry professional’s skills. This fifth-annual summer school will prepare participants for the imminent era of quantum utility. Using hands on examples, the syllabi will guide students through areas of near-term practical importance. Labs and solutions can be found here https://github.com/qiskit-community/qgss-2024/tree/main