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PennyLane is a specialized Claude Code skill designed to streamline quantum computing workflows by enabling developers to treat quantum circuits as differentiable layers within a neural network. It provides a robust set of tools for Variational Quantum Algorithms (VQA), quantum chemistry simulations, and hybrid quantum-classical model development, allowing for device-independent execution on both high-performance simulators and physical quantum hardware from providers like IBM, Amazon Braket, and Google. Whether you are conducting molecular research or building quantum neural networks, this skill provides the patterns and best practices needed for gradient-based optimization in the quantum domain.
