Shypd.aiThe largest open index of AI toolsqiskit-machine-learning is an Open Source & Models tool that provides an open-source library for quantum machine learning tasks. It enables the development and deployment of quantum machine learning models on quantum hardware and classical simulators.
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Qiskit Machine Learning is an open-source library built on Qiskit, designed for quantum machine learning tasks at scale. It introduces fundamental computational building blocks like Quantum Kernels and Quantum Neural Networks, which are essential for applications such as classification and regression. The library aims to be user-friendly, allowing quick prototyping without extensive quantum computing knowledge, while also being flexible for proofs-of-concept and innovative research. It is extensible, facilitating the integration of new features leveraging Qiskit's architecture. Key features include kernel-based methods using FidelityQuantumKernel, generic interfaces for neural networks (EstimatorQNN, SamplerQNN), and integration with PyTorch for automatic differentiation in hybrid quantum-classical neural networks.
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