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Google Quantum AI
Google Quantum AI
Google Quantum AI is Google's quantum-computing research and engineering arm, building superconducting quantum processors (most recently the Willow chip with below-threshold quantum error correction) and the open software stack that runs on them. The team operates the Quantum Computing Service via the Quantum Engine API (quantum.googleapis.com, v1alpha1), accessed primarily through the cirq-google Python client. Google Quantum AI also stewards a portfolio of Apache 2.0 open-source quantum software — Cirq, qsim, OpenFermion, Stim, Qualtran, TensorFlow Quantum, ReCirq, Tesseract, and Unitary — published under the quantumlib GitHub organisation, plus the Willow Early Access Program for sponsored researcher access to current hardware.
Google Quantum AI publishes 6 APIs on the APIs.io network, including Calibrations API, Jobs API, Processors API, and 3 more. Tagged areas include Quantum Computing, Quantum, Hardware, NISQ, and Error Correction.
The Google Quantum AI catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Google Quantum AI’s developer surface includes authentication, developer portal, documentation, getting-started guide, signup flow, training material, engineering blog, and 48 more developer resources.
15 APIs
17 Features
Quantum Computing Quantum Hardware NISQ Error Correction Willow Sycamore Cirq Quantum Engine Superconducting Qubits Google Cloud
On this page
Kin Score
APIs 15
Postman 6
Open Collections 1
Pricing Plans 1
Rate Limits 1
FinOps 1
Features 17
Vocabularies 1
Spectral Rules 2
JSON Schema 2
Examples 3
Security Posture 2
Scopes 1
Agentic Access 1
Resources 55
apis.yml
37 Operational Transparency
Composite quality — 60.5/100 · strong
Contract Quality
18.0 / 25
Developer Ergonomics
12.2 / 20
Commercial Clarity
12.1 / 20
Operational Transparency
4.8 / 13
Agent readiness — 32/100 · agent aware
Machine-Readable Contract
18 / 18
Agentic Access Contract
10 / 10
MCP Server
0 / 12
Machine-Readable Auth
10 / 10
Idempotency
0 / 9
Stable Error Semantics
0 / 8
Request/Response Examples
7 / 7
Rate-Limit Signaling
7 / 7
Typed Event Surface
0 / 6
Agent Skills
0 / 5
Well-Known Catalog
0 / 4
Consent & Bot Identity
0 / 3
A2A Agent Card
0 / 8
Dry-Run / Simulate Mode
0 / 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Scroll for all 15
Ready-to-run Postman collections for exercising this provider's APIs.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Cost, billing, and metering signals for API financial operations.
Notable capabilities this provider offers.
Willow superconducting quantum processor with below-threshold quantum error correction
Quantum Engine REST/gRPC API (quantum.googleapis.com, v1alpha1) for program, job, processor, reservation, and calibration management
cirq-google as the canonical client (QuantumEngineServiceClient) wrapping the gRPC service
Cirq Python framework v1.6.x for NISQ circuit design, simulation, and execution
qsim high-performance state-vector simulator with CUDA + cuQuantum acceleration
OpenFermion for quantum chemistry and materials simulation
Stim stabilizer simulator and Tesseract decoder for surface-code QEC
Qualtran for fault-tolerant algorithm authoring and resource estimation
TensorFlow Quantum for hybrid quantum-classical machine learning
ReCirq library of reproducible research experiments
Willow Early Access Program for sponsored researcher access to the latest hardware
Google Cloud IAM / Application Default Credentials for authentication
Cirq integrations for AQT, IonQ, Pasqal, and Rigetti via dedicated subpackages
Quantum Virtual Machine (QVM) including the willow_pink target for noise-aware local simulation
Coursera "Quantum Error Correction" course produced with Google Quantum AI
Unitary game-development library for educational quantum applications
All Google Quantum AI open-source software is Apache 2.0 licensed
Scroll for all 17
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral governance rulesets for linting and validating these APIs.
Standalone JSON Schema definitions for this provider's data models.
Example request and response payloads for these APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
OAuth scopes governing access to this provider's APIs.
Recommended x-agentic-access execution contracts for AI agents.
Get Started 5
Portal, sign-up, and the first successful call
Documentation 12
Reference material describing how the API behaves
Scroll for all 12
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 18
SDKs, sample code, and the tooling you integrate with
Scroll for all 18
Access & Security 3
Authentication, authorization, and security posture
Learn 4
Tutorials, courses, talks, and written guidance
Operate 5
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
aid: google-quantum-ai
url: https://raw.githubusercontent.com/api-evangelist/google-quantum-ai/refs/heads/main/apis.yml
apis:
- aid: google-quantum-ai:cirq
name: Cirq
tags:
- Quantum Computing
- SDK
- Python
- NISQ
- Open Source
humanURL: https://quantumai.google/cirq
properties:
- url: https://quantumai.google/cirq
type: Documentation
- url: https://github.com/quantumlib/Cirq
type: SourceCode
- url: https://pypi.org/project/cirq/
type: PackageURL
- url: https://quantumai.google/reference/python/cirq/all_symbols
type: Documentation
- url: https://quantumai.google/cirq/start/install
type: GettingStarted
description: Cirq is an Apache 2.0 Python framework for designing, manipulating, simulating, and executing Noisy Intermediate-Scale
Quantum (NISQ) circuits. Cirq is the canonical client library for Google's Quantum Engine, with cirq-google providing
typed access to programs, jobs, processors, reservations, and calibrations. Cirq v1.6.x supports Python 3.11+ and ships
dedicated subpackages for AQT, IonQ, Pasqal, and Google hardware backends.
- aid: google-quantum-ai:qsim
name: qsim
tags:
- Quantum Computing
- Simulation
- Performance
- Open Source
humanURL: https://quantumai.google/qsim
properties:
- url: https://quantumai.google/qsim
type: Documentation
- url: https://github.com/quantumlib/qsim
type: SourceCode
- url: https://pypi.org/project/qsimcirq/
type: PackageURL
description: qsim is a high-performance C++ state-vector simulator with a Python (qsimcirq) binding that plugs directly
into Cirq. It is optimised for AVX/AVX-512, CUDA, and cuQuantum backends and is the default classical engine for benchmarking
Cirq circuits at scales of 30+ qubits before submitting to hardware.
- aid: google-quantum-ai:openfermion
name: OpenFermion
tags:
- Quantum Computing
- Chemistry
- Materials Science
- Open Source
humanURL: https://quantumai.google/openfermion
properties:
- url: https://quantumai.google/openfermion
type: Documentation
- url: https://github.com/quantumlib/OpenFermion
type: SourceCode
- url: https://pypi.org/project/openfermion/
type: PackageURL
description: OpenFermion is an Apache 2.0 library for translating quantum chemistry and materials science problems (electronic
structure, fermionic operators, second quantisation) into quantum circuits suitable for Cirq and other backends. Plugin
packages (openfermion-pyscf, openfermion-psi4) bridge to classical chemistry stacks.
- aid: google-quantum-ai:stim
name: Stim
tags:
- Quantum Computing
- Error Correction
- Stabilizer
- Open Source
humanURL: https://github.com/quantumlib/Stim
properties:
- url: https://github.com/quantumlib/Stim
type: SourceCode
- url: https://pypi.org/project/stim/
type: PackageURL
description: Stim is a fast stabilizer-circuit simulator and detector-error-model toolchain that underpins Google Quantum
AI's quantum error-correction work, including the Willow surface-code experiments. It exposes Python and C++ APIs and
pairs with PyMatching and Tesseract decoders.
- aid: google-quantum-ai:qualtran
name: Qualtran
tags:
- Quantum Computing
- Algorithms
- Resource Estimation
- Open Source
humanURL: https://github.com/quantumlib/qualtran
properties:
- url: https://github.com/quantumlib/qualtran
type: SourceCode
- url: https://pypi.org/project/qualtran/
type: PackageURL
description: Qualtran provides abstractions (Bloqs) for expressing, decomposing, and resource-estimating fault-tolerant
quantum algorithms. It is Google Quantum AI's framework for reasoning about future error-corrected workloads on hardware
beyond Willow.
- aid: google-quantum-ai:tensorflow-quantum
name: TensorFlow Quantum
tags:
- Quantum Computing
- Machine Learning
- Hybrid
- Open Source
humanURL: https://www.tensorflow.org/quantum
properties:
- url: https://www.tensorflow.org/quantum
type: Documentation
- url: https://github.com/tensorflow/quantum
type: SourceCode
- url: https://pypi.org/project/tensorflow-quantum/
type: PackageURL
description: TensorFlow Quantum (TFQ) is a hybrid quantum-classical machine learning library that integrates Cirq circuits
as differentiable layers inside TensorFlow/Keras pipelines. Maintained jointly by Google Quantum AI and the TensorFlow
team.
- aid: google-quantum-ai:recirq
name: ReCirq
tags:
- Quantum Computing
- Research
- Experiments
- Open Source
humanURL: https://github.com/quantumlib/ReCirq
properties:
- url: https://github.com/quantumlib/ReCirq
type: SourceCode
description: ReCirq is a research-grade collection of reproducible Cirq experiments and applications published by Google
Quantum AI, covering Fermi-Hubbard simulations, quantum chemistry benchmarks, OTOC measurements, QAOA, and related workloads.
- aid: google-quantum-ai:tesseract-decoder
name: Tesseract Decoder
tags:
- Quantum Computing
- Error Correction
- Decoder
- Open Source
humanURL: https://github.com/quantumlib/tesseract-decoder
properties:
- url: https://github.com/quantumlib/tesseract-decoder
type: SourceCode
description: Tesseract is a search-based maximum-likelihood decoder for quantum error correction that accompanies Stim.
It targets surface-code and color-code decoding workloads used in Willow-era QEC demonstrations.
- aid: google-quantum-ai:unitary
name: Unitary
tags:
- Quantum Computing
- Games
- Education
- Open Source
humanURL: https://github.com/quantumlib/unitary
properties:
- url: https://github.com/quantumlib/unitary
type: SourceCode
description: Unitary is an API library for adding quantum behaviours (superposition, entanglement, measurement) into classical
games and interactive software, used in Google Quantum AI's educational outreach work.
- aid: google-quantum-ai:google-quantum-ai-calibrations-api
name: Google Quantum AI Calibrations API
description: Periodic device performance snapshots.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Calibrations
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-calibrations-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
- aid: google-quantum-ai:google-quantum-ai-jobs-api
name: Google Quantum AI Jobs API
description: Executions of a program against a processor or simulator backend.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Jobs
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-jobs-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
- aid: google-quantum-ai:google-quantum-ai-processors-api
name: Google Quantum AI Processors API
description: Quantum processing units (Willow, Sycamore-class) available to the project.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Processors
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-processors-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
- aid: google-quantum-ai:google-quantum-ai-programs-api
name: Google Quantum AI Programs API
description: Hardware-compatible circuits uploaded to a Google Cloud project.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Programs
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-programs-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
- aid: google-quantum-ai:google-quantum-ai-reservations-api
name: Google Quantum AI Reservations API
description: Processor time-slot reservations and budgets.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Reservations
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-reservations-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
- aid: google-quantum-ai:google-quantum-ai-results-api
name: Google Quantum AI Results API
description: Measurement results returned by completed jobs.
humanURL: https://quantumai.google/cirq/google/engine
baseURL: https://quantum.googleapis.com
tags:
- Results
properties:
- type: OpenAPI
url: openapi/google-quantum-ai-results-api-openapi.yml
- type: Documentation
url: https://quantumai.google/cirq/google/engine
- type: Documentation
url: https://quantumai.google/cirq/google/concepts
- type: Documentation
url: https://quantumai.google/cirq/google/access
- type: Documentation
url: https://quantumai.google/reference/python/cirq_google/engine/Engine
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-program-schema.json
- type: JSONSchema
url: json-schema/google-quantum-ai-quantum-job-schema.json
- type: JSONLD
url: json-ld/google-quantum-ai-context.jsonld
name: Google Quantum AI
tags:
- Quantum Computing
- Quantum
- Hardware
- NISQ
- Error Correction
- Willow
- Sycamore
- Cirq
- Quantum Engine
- Superconducting Qubits
- Google Cloud
kind: contract
accessModel:
pricing: free
onboarding: self-serve
trial: false
try_now: true
public: false
label: Free · Self-serve signup
confidence: high
source:
- plans
- authentication
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/google-quantum-ai.png
access: 3rd-Party
common:
- type: PostmanWorkspace
url: https://www.postman.com/kinlaneapi/google-quantum-ai/overview
- type: AgenticAccess
url: agentic-access/google-quantum-ai-agentic-access.yml
- type: DomainSecurity
url: security/google-quantum-ai-domain-security.yml
- type: Authentication
url: authentication/google-quantum-ai-authentication.yml
- type: OAuthScopes
url: scopes/google-quantum-ai-scopes.yml
- url: https://quantumai.google/
name: Google Quantum AI Portal
type: Portal
- url: https://quantumai.google/cirq
name: Cirq Documentation
type: Documentation
- url: https://quantumai.google/software
name: Open Source Software
type: Documentation
- url: https://quantumai.google/cirq/google/engine
name: Quantum Engine API
type: Documentation
- url: https://quantumai.google/cirq/google/concepts
name: Quantum Computing Service Concepts
type: Documentation
- url: https://quantumai.google/cirq/google/access
name: Access and Authentication
type: Documentation
- url: https://quantumai.google/cirq/start/install
name: Install Cirq
type: GettingStarted
- url: https://quantumai.google/cirq/start/start
name: Cirq Quick Start
type: GettingStarted
- url: https://quantumai.google/cirq/start/basics
name: Cirq Basics Tutorial
type: GettingStarted
- url: https://quantumai.google/reference/python/cirq/all_symbols
name: Cirq Python API Reference
type: Documentation
- url: https://quantumai.google/reference/python/cirq_google
name: cirq-google Reference
type: Documentation
- url: https://quantumai.google/qsim
name: qsim Documentation
type: Documentation
- url: https://quantumai.google/openfermion
name: OpenFermion Documentation
type: Documentation
- url: https://quantumai.google/quantumcomputer
name: Our Quantum Computer
type: Documentation
- url: https://quantumai.google/roadmap
name: Quantum AI Roadmap
type: Documentation
- url: https://quantumai.google/research
name: Research
type: Documentation
- url: https://quantumai.google/willowearlyaccess
name: Willow Early Access Program
type: Signup
- url: https://quantumai.google/learn/map
name: Learning Map
type: Training
- url: https://quantumai.google/learn
name: Learn Quantum Computing
type: Training
- url: https://blog.google/technology/google-deepmind/google-quantum-ai/
name: Google Quantum AI Blog
type: Blog
- url: https://x.com/googlequantumai
name: Google Quantum AI on X
type: Twitter
- url: https://www.youtube.com/@GoogleQuantumAI
name: Google Quantum AI YouTube
type: VideoChannel
- url: https://github.com/quantumlib
name: quantumlib GitHub Organization
type: GitHubOrganization
- url: https://github.com/quantumlib/Cirq
name: Cirq
type: SDKs
- url: https://github.com/quantumlib/qsim
name: qsim
type: SDKs
- url: https://github.com/quantumlib/OpenFermion
name: OpenFermion
type: SDKs
- url: https://github.com/quantumlib/Stim
name: Stim
type: SDKs
- url: https://github.com/quantumlib/qualtran
name: Qualtran
type: SDKs
- url: https://github.com/quantumlib/ReCirq
name: ReCirq
type: CodeExamples
- url: https://github.com/quantumlib/tesseract-decoder
name: Tesseract Decoder
type: Tools
- url: https://github.com/quantumlib/unitary
name: Unitary
type: SDKs
- url: https://github.com/quantumlib/chromobius
name: Chromobius
type: Tools
- url: https://github.com/quantumlib/TypedUnits
name: TypedUnits
type: SDKs
- url: https://github.com/tensorflow/quantum
name: TensorFlow Quantum
type: SDKs
- url: https://pypi.org/project/cirq/
name: Cirq on PyPI
type: PackageURL
- url: https://pypi.org/project/cirq-google/
name: cirq-google on PyPI
type: PackageURL
- url: https://pypi.org/project/qsimcirq/
name: qsimcirq on PyPI
type: PackageURL
- url: https://pypi.org/project/openfermion/
name: OpenFermion on PyPI
type: PackageURL
- url: https://pypi.org/project/stim/
name: Stim on PyPI
type: PackageURL
- url: https://groups.google.com/g/cirq
name: Cirq Users Mailing List
type: Forums
- url: https://quantumcomputing.stackexchange.com/questions/tagged/cirq
name: Cirq on Quantum Computing Stack Exchange
type: Forums
- url: https://cloud.google.com/terms
name: Google Cloud Terms of Service
type: TermsOfService
- url: https://policies.google.com/privacy
name: Google Privacy Policy
type: PrivacyPolicy
- url: https://status.cloud.google.com/
name: Google Cloud Status
type: StatusPage
- url: https://github.com/quantumlib/Cirq/releases
name: Cirq Release Notes
type: ChangeLog
- url: https://github.com/quantumlib/Cirq/blob/main/LICENSE
name: Apache 2.0 License
type: License
- url: https://www.coursera.org/learn/quantum-error-correction
name: Quantum Error Correction on Coursera
type: Courses
- url: plans/google-quantum-ai-plans-pricing.yml
type: Plans
- url: rate-limits/google-quantum-ai-rate-limits.yml
type: RateLimits
- url: finops/google-quantum-ai-finops.yml
type: FinOps
- type: Features
data:
- Willow superconducting quantum processor with below-threshold quantum error correction
- Quantum Engine REST/gRPC API (quantum.googleapis.com, v1alpha1) for program, job, processor, reservation, and calibration
management
- cirq-google as the canonical client (QuantumEngineServiceClient) wrapping the gRPC service
- Cirq Python framework v1.6.x for NISQ circuit design, simulation, and execution
- qsim high-performance state-vector simulator with CUDA + cuQuantum acceleration
- OpenFermion for quantum chemistry and materials simulation
- Stim stabilizer simulator and Tesseract decoder for surface-code QEC
- Qualtran for fault-tolerant algorithm authoring and resource estimation
- TensorFlow Quantum for hybrid quantum-classical machine learning
- ReCirq library of reproducible research experiments
- Willow Early Access Program for sponsored researcher access to the latest hardware
- Google Cloud IAM / Application Default Credentials for authentication
- Cirq integrations for AQT, IonQ, Pasqal, and Rigetti via dedicated subpackages
- Quantum Virtual Machine (QVM) including the willow_pink target for noise-aware local simulation
- Coursera "Quantum Error Correction" course produced with Google Quantum AI
- Unitary game-development library for educational quantum applications
- All Google Quantum AI open-source software is Apache 2.0 licensed
sources:
- https://quantumai.google/
- https://quantumai.google/cirq
- https://quantumai.google/cirq/google/engine
- https://quantumai.google/cirq/google/concepts
- https://quantumai.google/software
- https://github.com/quantumlib
updated: '2026-05-25'
created: '2026-05-25T00:00:00.000Z'
modified: '2026-05-25'
position: Consuming
description: Google Quantum AI is Google's quantum-computing research and engineering arm, building superconducting quantum
processors (most recently the Willow chip with below-threshold quantum error correction) and the open software stack that
runs on them. The team operates the Quantum Computing Service via the Quantum Engine API (quantum.googleapis.com, v1alpha1),
accessed primarily through the cirq-google Python client. Google Quantum AI also stewards a portfolio of Apache 2.0 open-source
quantum software — Cirq, qsim, OpenFermion, Stim, Qualtran, TensorFlow Quantum, ReCirq, Tesseract, and Unitary — published
under the quantumlib GitHub organisation, plus the Willow Early Access Program for sponsored researcher access to current
hardware.
maintainers:
- FN: Kin Lane
email: info@apievangelist.com
X: apievangelist
url: https://apievangelist.com
specificationVersion: '0.16'