cirq-circuit-builder
Google Cirq integration skill for quantum circuit design and execution on Google quantum processors
Best use case
cirq-circuit-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Google Cirq integration skill for quantum circuit design and execution on Google quantum processors
Teams using cirq-circuit-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cirq-circuit-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cirq-circuit-builder Compares
| Feature / Agent | cirq-circuit-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Google Cirq integration skill for quantum circuit design and execution on Google quantum processors
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Cirq Circuit Builder ## Purpose Provides expert guidance on quantum circuit design and execution using Google Cirq framework, enabling development and deployment to Google quantum processors. ## Capabilities - Quantum circuit construction using Cirq - Device-aware circuit compilation - Noise simulation and characterization - Virtual and XEB calibration - Floquet calibration support - Circuit serialization and import/export - Sycamore processor targeting - Custom gate definitions ## Usage Guidelines 1. **Circuit Design**: Build circuits using Cirq operations and moments 2. **Device Compilation**: Use device specifications for topology-aware compilation 3. **Noise Simulation**: Configure noise models for realistic simulation 4. **Calibration**: Integrate calibration data for accurate hardware mapping 5. **Serialization**: Export circuits for sharing and version control ## Tools/Libraries - Cirq - Cirq-Google - TensorFlow Quantum - Cirq-IonQ - Cirq-AQT
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