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 15 API contracts indexed on the APIs.io network, including Calibrations API, Jobs API, Processors API, and 12 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 49 more developer resources.
53.7/100developing▬ flatAgent28/100agent awareFront door AI4/6
moderate
Heartbeat98/100
alive
saas · Apache 2.0 License
Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
If this regime is wrong for your business, say so on your
provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it
carries 10 points of the composite. It is scored from the published contracts
themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already
holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in
front of it, and the first time that check is skipped a duplicate record is created.
Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet,
not penalised by it.
The six quality facets above are damped to 75 points between them,
because the conditional facet above carries the other
25. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 75% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
Show this score on your site.
It updates itself when the score changes. Paste this where you link to your API docs:
<a href="https://apis.io/providers/google-quantum-ai/"><img src="https://apis.io/badge/google-quantum-ai/card.svg" alt="Google Quantum AI on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
MCP Server+12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics+8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card+8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
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 libr...
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 backen...
OpenFermion is an Apache 2.0 library for translating quantum chemistry and materials science problems (electronic structure, fermionic operators, second quantisation) into quant...
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-cod...
Qualtran provides abstractions (Bloqs) for expressing, decomposing, and resource-estimating fault-tolerant quantum algorithms. It is Google Quantum AI's framework for reasoning ...
ReCirq is a research-grade collection of reproducible Cirq experiments and applications published by Google Quantum AI, covering Fermi-Hubbard simulations, quantum chemistry ben...
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 Will...
Unitary is an API library for adding quantum behaviours (superposition, entanglement, measurement) into classical games and interactive software, used in Google Quantum AI's edu...
Not yet checked against Google Quantum AI's own pricing page. Compiled by API Evangelist on 2026-05-25 from quantumai.google/cirq/google/access; confirm before you rely on a figure. A free plan or tier is listed.
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
tags_raw:
- Quantum Computing
- SDK
- Python
- NISQ
- Open Source
- 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
tags_raw:
- Quantum Computing
- Simulation
- Performance
- Open Source
- 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
tags_raw:
- Quantum Computing
- Chemistry
- Materials Science
- Open Source
- 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
tags_raw:
- Quantum Computing
- Error Correction
- Stabilizer
- Open Source
- 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
tags_raw:
- Quantum Computing
- Algorithms
- Resource Estimation
- Open Source
- 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
tags_raw:
- Quantum Computing
- Machine Learning
- Hybrid
- Open Source
- Machine-Learning
- 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
tags_raw:
- Quantum Computing
- Research
- Experiments
- Open Source
- 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
tags_raw:
- Quantum Computing
- Error Correction
- Decoder
- Open Source
- 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
tags_raw:
- Quantum Computing
- Games
- Education
- Open Source
- 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:
- Job
tags_raw:
- 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
deliveryModel:
model: saas
license: Apache 2.0 License
open_source: false
commercial: true
callable_host: true
label: Hosted service · you call their endpoint
confidence: high
source:
- license
- openapi
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: free
onboarding: self-serve
trial: false
try_now: true
public: false
gated: none
gated_source:
- onboarding
label: Free · Self-serve signup
confidence: medium
source:
- plans
- authentication
- security
generated: '2026-11-06'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/google-quantum-ai.png
access: 3rd-Party
common:
- type: Website
url: https://www.quantumai.google/
- 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: '0.23'
Google Quantum AI API — frequently asked questions
Does Google Quantum AI have an API?
Yes. APIs.io lists 15 APIs from Google Quantum AI, including Cirq, qsim and OpenFermion, and 12 more.
Is there an OpenAPI specification for the Google Quantum AI API?
Yes. APIs.io indexes 6 OpenAPI specifications for Google Quantum AI, each linked for download from this page.
How do I authenticate with the Google Quantum AI API?
Google Quantum AI documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Google Quantum Ai Authentication.
How much does the Google Quantum AI API cost?
APIs.io lists 3 pricing plans for Google Quantum AI, with each plan's price, limits and inclusions under Pricing on this page.
Is the Google Quantum AI API ready for AI agents?
Google Quantum AI has a Kin Score of 53.7 out of 100 (developing) and an Agent Readiness score of 27.5 (agent-aware), scored by API Evangelist on 2026-11-06.
Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we
store it to create your key and to recognise you if you sign in with another
provider. See our Privacy Policy and
Terms.
Kin Score
How this is scored →
It updates itself when the score changes. Paste this where you link to your API docs: