> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# cirq — AI agent skill for physical sciences

> Google quantum computing framework.

# `cirq`

> 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.

**Category:** [physical-sciences](/research-agent-skills/skills#physical-sciences) · **License:** Apache-2.0 license · **Version:** 1.1

## Install

```bash theme={null}
npx research-agent-skills install cirq
npx skills add KalarisLabs/research-agent-skills --skill cirq
```

## When to use it

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.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/cirq/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.


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