pennylane

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

by oimiragieo· Repository·other

Run in AgentArea Browse All Skills

Also installable via skills CLI

npx skills add oimiragieo/agent-studio/.claude/skills/scientific-skills/skills/pennylane

Source

Repo:github.com/oimiragieo/agent-studio

Path:.claude/skills/scientific-skills/skills/pennylane/SKILL.md(main)

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