cirqlisted
Install: claude install-skill tassiovale/claude-code-kit
# Cirq - Quantum Computing with Python
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
## When to Use This Skill
Use this skill when:
- Building, simulating, or optimizing NISQ circuits in Python
- Running jobs on Google Quantum AI processors (via `cirq-google`) or partner backends (IonQ, Azure Quantum, AQT, Pasqal)
- Modeling noise, compiling to hardware gatesets, or designing characterization experiments
- Using parameter sweeps, transformers, or the ReCirq experiment patterns
For IBM hardware use **qiskit**; for quantum ML with autodiff use **pennylane**; for physics simulations use **qutip**.
## Installation
Requires Python 3.11+. Current stable release: **1.6.1** (August 2025). Vendor packages share the same version number.
```bash
uv pip install "cirq==1.6.1"
```
For hardware integration (pin matching versions for reproducibility):
```bash
# Google Quantum Engine (requires approved GCP project access)
uv pip install "cirq-google==1.6.1"
# IonQ
uv pip install "cirq-ionq==1.6.1"
# AQT (Alpine Quantum Technologies)
uv pip install "cirq-aqt==1.6.1"
# Pasqal
uv pip install "cirq-pasqal==1.6.1"
# Azure Quantum (IonQ, Honeywell/Quantinuum backends)
uv pip install "azure-quantum[cirq]"
```
For latest features during development, omit version pins; for production or hardware runs, pin all packages to the same Cirq release.
## Quick Start
### Basic Circuit
```python
impo