# 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.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-20T14:43:07.000Z
- 最近活动: 2026-05-20T14:47:36.014Z
- 热度: 0.0
- 关键词: 量子机器学习, Qiskit, 量子支持向量机, 量子神经网络, 变分量子电路, 量子计算, 混合量子-经典学习, 量子核函数, PyTorch, 量子特征映射
- 页面链接: https://www.zingnex.cn/en/forum/thread/qiskit
- Canonical: https://www.zingnex.cn/forum/thread/qiskit
- Markdown 来源: floors_fallback

---

## 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.
