cirq-google
The Cirq module that provides tools and access to the Google Quantum Computing Service
Decision gist · record as of 2026-08-14
Yes, if you need to work with Google's quantum hardware or simulators. The package is actively maintained, production-stable, has low install friction, and carries a permissive license. It's the official integration point for Google quantum access within the Cirq ecosystem. Not necessary if you only use Cirq for general quantum circuit work without Google-specific hardware access.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Google Cloud credentials and a valid project ID are needed to access the Quantum Computing Service.
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-29 (46 days) · last repo commit 2026-08-14 · 5,046 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 173,045 downloads/mo, #10,318 on PyPI
Alternatives
Verify before relying
pip install cirq-google
import cirq_google
# Access Google Quantum Computing Service
engine = cirq_google.Engine(project_id='your-project')- Specific quantum hardware devices supported and their current availability
- Authentication and quota requirements for the Google Quantum Computing Service
- Performance characteristics and simulation limits for circuit execution
What it is and what it does
Cirq-google is the integration layer between Cirq (a quantum circuit framework) and Google's Quantum Computing Service. It extends Cirq with Google-specific tools for accessing quantum hardware, calibrating devices, and characterizing their behavior—essential for working with noisy intermediate-scale quantum (NISQ) computers where hardware details significantly affect results.
The package is designed for researchers and developers building quantum algorithms and applications that target Google's quantum processors. It handles the complexity of translating abstract quantum circuits into hardware-specific instructions and provides calibration utilities to optimize performance on real quantum devices. Installation automatically brings in cirq-core and supporting dependencies like protobuf and google-api-core for service communication.
Use it for
- Run quantum circuits on Google's quantum processors through the Quantum Computing Service API
- Calibrate and characterize Google quantum hardware to understand device-specific noise and errors
- Develop and test quantum algorithms targeting NISQ devices with hardware-aware optimizations
- Access Google's quantum simulators for circuit validation before hardware execution
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to work with Google's quantum hardware or simulators.
The package is actively maintained, production-stable, has low install friction, and carries a permissive license. It's the official integration point for Google quantum access within the Cirq ecosystem. Not necessary if you only use Cirq for general quantum circuit work without Google-specific hardware access.
Install
cirq-google on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with a recent release and ongoing commits; the project is in production/stable status with 5046 repository stars.
Requires Python 3.11 or later. Google Cloud credentials and a valid project ID are needed to access the Quantum Computing Service.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install cirq-google
import cirq_google
# Access Google Quantum Computing Service
engine = cirq_google.Engine(project_id='your-project')Verify before relying
- Specific quantum hardware devices supported and their current availability
- Authentication and quota requirements for the Google Quantum Computing Service
- Performance characteristics and simulation limits for circuit execution
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-api-coreproto-plusprotobuftypedunitscirq-core |
| Maintenance | Actively maintained 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 173,045 / month, #10,318 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Quantum ComputingTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: cirq_google-1.7.0-py3-none-any.whl
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See also cirq-core · cirq-ionq · cirq-pasqal · cirq-web · cirq · cirq-aqt · qm-octave · mqt.qcec · openpulse · qualang-tools