Individual skill

pennylane

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.

tests/ext_conformance/artifacts/templates-davila7/cli-tool/components/skills/scientific/pennylane/SKILL.md

Source commit 70110103476bad94b3d700f50909d08842df50cc

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Observed behavior

Network or broad shell

Last checked

Nov 3, 2026

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