cirq
Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).
npx skills add majiayu000/claude-skill-registry --skill cirq-activer007-ordinary-claude-skil --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. ## Installation ```bash uv pip install cirq ``` For hardware integration: ```bash # Google Quantum Engine uv pip install cirq-google # IonQ uv pip install cirq-ionq # AQT (Alpine Quantum Technologies) uv pip install cirq-aqt # Pasqal uv pip install cirq-pasqal # Azure Quantum uv pip install azure-quantum cirq ``` ## Quick Start ### Basic Circuit ```python import cirq import numpy as np # Create qubits q0, q1 = cirq.LineQubit.range(2) # Build circuit circuit = cirq.Circuit( cirq.H(q0), # Hadamard on q0 cirq.CNOT(q0, q1), # CNOT with q0 control, q1 target cirq.measure(q0, q1, key='result') ) print(circuit) # Simulate simulator = cirq.Simulator() result = simulator.run(circuit, repetitions=1000) # Display results print(result.histogram(key='result')) ``` ### Parameterized Circuit ```python import sympy # Define symbolic parameter theta = sympy.Symbol('theta') # Create parameterized circuit circuit = cirq.Circuit( cirq.ry(theta)(q0), cirq.measure(q0, key='m') ) # Sweep over parameter values sweep = cirq.Lin
- Installation
- Quick Start
- Basic Circuit
- Parameterized Circuit
- Core Capabilities
- Circuit Building
- Simulation
- Circuit Transformation
- Hardware Integration
- Noise Modeling
- Quantum Experiments
- Common Patterns
- Variational Algorithm Template
- Hardware Execution Template
uv pip install cirq Google Quantum Engine uv pip install cirq-google IonQ uv pip install cirq-ionq AQT (Alpine Quantum Technologies) uv pip install cirq-aqt Pasqal uv pip install cirq-pasqal Azure Quantum
What does the cirq skill do?
Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cirq-activer007-ordinary-claude-skil --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.