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Qiskit Machine Learning is an open-source Python library designed to bridge quantum computing and machine learning

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Developed by IBM Quantum researchers, it enables hybrid quantum-classical computation for advanced AI applications

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The library provides a high-level API for easy integration with both quantum hardware and classical simulators

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It supports modular and extensible design, allowing rapid prototyping and experimentation for both beginners and experts

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Qiskit Machine Learning is distributed under the Apache 2.0 license, encouraging community contributions and transparency

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Key components include quantum kernels, quantum neural networks (QNNs), quantum support vector machines (QSVMs), and trainable kernels

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Seamless integration with popular classical ML frameworks like TensorFlow and PyTorch lowers the barrier for traditional ML practitioners

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