Practical Guide to Quantum Machine Learning: Implementation of Quantum Support Vector Machines and Quantum Neural Networks Based on Qiskit

Introduction / Main Floor: Practical Guide to Quantum Machine Learning: Implementation of Quantum Support Vector Machines and Quantum Neural Networks Based on Qiskit

This article provides an in-depth introduction to quantum machine learning implementation using the Qiskit framework, covering core concepts such as quantum support vector machines, variational quantum circuits, and quantum neural networks. Combined with practical code from HPI's open course, it demonstrates the complete construction method of a quantum-classical hybrid learning workflow.