cirq
Category: physical-sciences · License: Apache-2.0 license · Version: 1.1
Tags: quantum computing, quantum circuits, noise modeling, physics
When to use it
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.Example requests
Ask your agent in plain language, for example:- “How do I add depolarizing noise to every gate in a Cirq circuit and compare the result to the ideal one?”
- “I’m running cirq 1.6.1 with cirq-google and my 12-qubit circuit in qaoa_maxcut.py fails on a Willow processor target with ‘Operation not supported by device gateset’ (a CZ-decomposed circuit with a raw CNOT left in). How do I get it to compile and validate before submitting through Quantum Engine?”
- “I want to measure how good the two-qubit gates are on my 20-qubit chip by running random circuits of increasing depth and fitting the fidelity decay. Can you set up the characterization experiment and analysis in Python using Google’s stack?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole physical-sciences category with /plugin install physical-sciences@research-agent-skills.