Overview
cirq is an open-source data skill for Claude Code and compatible agents, published by K-Dense-AI. Its author describes it as: “Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-lev…”. The project has 45k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/cirq`.
What cirq does
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
What’s inside
The SKILL.md for cirq is organised into these sections:
- When to Use This Skill
- Installation
- Quick Start
- Basic Circuit
- Parameterized Circuit
- Core Capabilities
- Circuit Building
- Simulation
- Circuit Transformation
- Hardware Integration
- Noise Modeling
- Quantum Experiments
Installation
Add cirq to your agent with:
git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/cirqReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
Neither the skill nor its repository names a specific agent. It uses the SKILL.md format, which several agents can load — check the repository for any agent-specific requirements.
License
cirq is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in K-Dense-AI/scientific-agent-skills, an established project with 44,861 GitHub stars
- Actively maintained — repository updated in the last 30 days
- Its repository gained 11,040 GitHub stars over the last 27 days
Author
Topics
Frequently asked questions
- What does cirq do?
- Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
- How do I install cirq?
- Run git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/cirq in your agent, then reload your skills. Review the source at https://github.com/K-Dense-AI/scientific-agent-skills before installing.
- Is cirq free to use?
- Yes. cirq is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does cirq come from?
- cirq ships inside K-Dense-AI/scientific-agent-skills, a repository that contains 42 catalogued skills in total. The repository's 44,861 GitHub stars apply to that whole collection, not to this skill on its own.