Agent skill · research science · sickn33
cirq
Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.
Why this skill is useful
Provides domain-specific knowledge on quantum circuit design and simulation that the AI wouldn't reliably generate on its own.
What it needs
Requires azure-quantum, cirq, cirq-aqt, cirq-google, cirq-ionq, cirq-pasqal installed locally. About 5k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Bundled upstream support Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes. 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 You are designing, simulating, or executing quantum circuits with the Cirq ecosystem. You need Google Quantum AI-style primitives, parameterized circuits, or integrations like cirq-google and cirq-ionq. You are prototyping or teaching quantum workflows in Python and want concrete circuit examples. Installation For hardware integration: Quick Start Basic Circuit Parameterized Circuit Core Capabilities Circuit Building For comprehensive information about building quantum circuits, including qubits, gates, operations, custom gates, and circuit patterns, see: references/building.md - Complete guide to circuit construction Common topics: Qubit types (GridQubit, LineQubit, NamedQubit) Single and two-qubit gates Parameterized gates and operations Custom gate decomposition Circuit organization with moments Standard circuit patterns (Bell states, GHZ, QFT) Import/export (OpenQASM, JSON) Working with qudits and observables Simulation For detailed information about simulating quantum circuits, including exact simulation, noisy simulation, parameter sweeps, and the Quantum Virtual Machine, see: references/simulation.md - Complete guide to quantum simulation Common topics: Exact simulation (state vector, density matrix) Sampling and measurements Parameter sweeps (single and multiple parameters) Noisy simulation State histograms and visualization Quantum Virtual Machine (QVM) Expectation values and observables Performance optimization Circuit Transformation For information about optimizing, compiling, and manipulating quantum circuits, see: references/transformation.md - Complete guide to circuit transformations Common topics: …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/cirq--5a71b7