cirq
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.
- Version
- 1.3
- License
- Apache-2.0 license
- Compatibility
- Requires Python 3.11+ and Cirq 1.7.0 for local examples. Cloud execution requires provider credentials, network access, and assigned targets. Azure uses a separate Cirq 1.6.1 environment.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/cirq/SKILL.md
- skills/cirq/SKILL_CN.md
- skills/cirq/references/building.md
- skills/cirq/references/experiments.md
- skills/cirq/references/hardware.md
- skills/cirq/references/noise.md
- skills/cirq/references/review.md
- skills/cirq/references/simulation.md
- skills/cirq/references/transformation.md
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