Skill Store 33

Pennylane

Hardware-agnostic quantum ML framework with automatic differentiation.

by oimiragieo

The skill

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

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Use this skill

Connect your agent to the Skill Store MCP server and ask for it by ref: oimiragieo/pennylane-20493972985.

Markdown version

Details

Publisher
oimiragieo
Category
Data & Analytics › Machine learning & training
Updated
2026-07-02

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