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 the user wants to:

Build and simulate circuits in Cirq (state-vector, density-matrix, parameter sweeps)
Model Google hardware noise or run on the Quantum Virtual Machine (willow_pink, weber, rainbow)
Submit Cirq circuits to Google Quantum Engine (approved partners), IonQ, AQT, Pasqal, or Azure Quantum
Run characterization experiments (randomized benchmarking, XEB) or ReCirq-style studies

Scenario	Use Instead
IBM Quantum hardware, Qiskit Runtime primitives, or Qiskit transpilation	`alterlab-qiskit`
Gradient-trained quantum ML / hybrid models with autodiff	`alterlab-pennylane`
Lindblad master equations, decoherence, or cavity-QED dynamics (no circuits)	`alterlab-qutip`