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Google Quantum AI (google-quantum-ai)

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Full detail: Where this data comes from

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.

APIs.json: https://raw.githubusercontent.com/api-evangelist/google-quantum-ai/refs/heads/main/apis.yml

Scope

  • Position: Consuming
  • Access: 3rd-Party

Tags

  • Quantum Computing
  • Quantum
  • Hardware
  • NISQ
  • Error Correction
  • Willow
  • Sycamore
  • Cirq
  • Quantum Engine
  • Superconducting Qubits
  • Google Cloud

Timestamps

  • Created: 2026-05-25T00:00:00.000Z
  • Modified: 2026-05-25

APIs

Google Quantum Engine API

The Quantum Engine API (quantum.googleapis.com, v1alpha1) lets approved Google Cloud projects upload quantum circuits as programs, run them as jobs on Google's superconducting quantum processors (Willow, Sycamore-class), inspect device specifications and calibrations, and reserve processor time. The canonical client is the cirq-google Python package (cirq_google.Engine), which wraps the gRPC service exposed by google.cloud.quantum.v1alpha1.QuantumEngineService. Authentication uses Google Cloud Application Default Credentials and standard IAM; access requires Google sponsorship plus inclusion on the approved-user list.

Tags

  • Quantum Computing
  • Quantum Engine
  • Google Cloud
  • Hardware
  • NISQ

Properties

Cirq

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.

Tags

  • Quantum Computing
  • SDK
  • Python
  • NISQ
  • Open Source

Properties

qsim

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.

Tags

  • Quantum Computing
  • Simulation
  • Performance
  • Open Source

Properties

OpenFermion

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.

Tags

  • Quantum Computing
  • Chemistry
  • Materials Science
  • Open Source

Properties

Stim

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.

Tags

  • Quantum Computing
  • Error Correction
  • Stabilizer
  • Open Source

Properties

Qualtran

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.

Tags

  • Quantum Computing
  • Algorithms
  • Resource Estimation
  • Open Source

Properties

TensorFlow Quantum

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.

Tags

  • Quantum Computing
  • Machine Learning
  • Hybrid
  • Open Source

Properties

ReCirq

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.

Tags

  • Quantum Computing
  • Research
  • Experiments
  • Open Source

Properties

Tesseract Decoder

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.

Tags

  • Quantum Computing
  • Error Correction
  • Decoder
  • Open Source

Properties

Unitary

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.

Tags

  • Quantum Computing
  • Games
  • Education
  • Open Source

Properties

Common Properties

Maintainers

FN: Kin Lane Email: info@apievangelist.com URL: https://apievangelist.com

About

Google Quantum AI — independent third-party profile of a public API surface, by API Evangelist. 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.

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