pennylane

SUMMARY

What it does

This Agent Skill provides procedural knowledge for using PennyLane, a hardware-agnostic quantum machine learning framework with automatic differentiation. The skill covers quantum circuit construction, quantum machine learning, quantum chemistry, device management, optimization, and advanced features. It includes installation instructions for PennyLane and plugins, quick-start examples, common workflows (e.g., variational classifier, VQE), and best practices. The skill is designed for training quantum circuits via gradients, building hybrid quantum-classical models, and achieving device portability across IBM, Google, Rigetti, and IonQ. It is best suited for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch or JAX. The skill also provides guidance on when to use alternative frameworks (qiskit, cirq, qutip) for specific use cases.