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.).
Install
npx skills add davila7/claude-code-templates --skill pennylanenpx skills add davila7/claude-code-templates --skill pennylane -a claude-code -gnpx skills add davila7/claude-code-templates --skill pennylane -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/scientific/pennylanegh skill install davila7/claude-code-templates pennylanegit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/pennylane ~/.claude/skills/pennylane # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/scientific/pennylane ~/.agents/skills/pennylane # Codex, Cursor, Gemini CLI, Copilot, OpenCode