cirq

Design, simulate, and run quantum circuits on quantum computers and simulators.

Updated May 17, 2026
One-click install
npx skills add https://github.com/galeep/plugin-place --skill cirq-galeep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cirq
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-physics-astronomy/skills/cirq
Command: npx skills add https://github.com/galeep/plugin-place --skill cirq-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cirq, numpy, scipy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to design, simulate, and run quantum circuits on quantum computers and simulators, enabling quantum computing tasks like circuit design, noise modeling, and quantum characterization experiments.

Core Features & Use Cases

  • Circuit Design: Build quantum circuits using Python, including qubits, gates, operations, and custom gates.
  • Simulation: Simulate quantum circuits on quantum computers and simulators, including exact and noisy simulations.
  • Hardware Integration: Run circuits on real quantum hardware from various providers like Google Quantum AI, IonQ, Azure Quantum, AQT, and Pasqal.
  • Use Case: For instance, a physicist might use this Skill to design a quantum circuit for a specific experiment, simulate it on a simulator, and then run it on actual quantum hardware.

Quick Start

Use the cirq skill to create a simple quantum circuit with two qubits and a Hadamard gate on the first qubit.

Frequently Asked Questions about cirq

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design and simulate quantum circuits with Python?

You can design and simulate quantum circuits with Python by constructing qubits, applying gates, and running exact or noisy simulations. This Skill handles circuit construction, noise modeling, and hardware integration.

How do I run quantum circuit simulations with noise modeling?

To run quantum circuit simulations with noise modeling, you define quantum circuits using Python and apply custom noise models. This supports exact and noisy simulations for quantum characterization experiments.

Can I run quantum circuits on real quantum hardware from providers like Google Quantum AI or IonQ?

Yes, you can run quantum circuits on real hardware from providers like Google Quantum AI, IonQ, Azure Quantum, AQT, and Pasqal. This Skill integrates designed circuits directly with quantum computers.

Do I need numpy and scipy to build quantum circuits for quantum characterization experiments?

Yes, you need Python with numpy and scipy to build quantum circuits for quantum characterization experiments. These libraries provide the mathematical foundation for circuit design and simulation.

What is the best way to execute quantum hardware integration using Python?

The best way to execute quantum hardware integration using Python is through dedicated quantum computing libraries. This Skill enables designing circuits locally, simulating them, and deploying them to actual quantum hardware.

When should I use a quantum simulator instead of actual quantum computers?

You should use a quantum simulator instead of actual quantum computers when validating circuit design logic or testing noise models. Simulation provides an exact baseline before deploying to physical hardware.