AI导哈

智能体工作流

pennylane

k-dense-ai/scie…t-skills

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for open-system dynamics use qutip.

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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill pennylane

SKILL.md

PennyLane

When to use

Use PennyLane to optimize parameterized circuits, build hybrid quantum-classical models, estimate molecular energies, or compare a validated circuit across devices. This skill targets stable PennyLane 0.45.1. The local examples use small synthetic systems; successful optimization does not establish quantum advantage, molecular accuracy, or hardware fidelity.

Installation

Create a dedicated environment; provider plugins and compiler dependencies should be resolved separately from unrelated scientific packages:

uv venv --python 3.13 .venv-pennylane
uv pip install --python .venv-pennylane/bin/python "pennylane==0.45.1"

相关 Skills

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