The library introduces fundamental computational building blocks for quantum machine learning, including Quantum Kernels and Quantum Neural Networks. These components enable classification and regression tasks to be executed at scale on quantum hardware or classical simulators. It is built as a high-level extension of the Qiskit quantum computing framework and is part of the Qiskit Community ecosystem.