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Text Content

 * 

Software
 * Tools for quantum computing research and development
 * Learn about our software stack and available resources to help you with your
   work
 * See all tools

 * Programming framework
 * Cirq
   An open source Python framework and simulators for writing, optimizing, and
   running quantum programs

 * Computing service
 * Quantum Virtual Machine
   Run your quantum program on a virtual grid on our quantum hardware

 * Libraries and extensions
 * OpenFermion
   The electronic structure package for quantum computers
 * qsim
   Schrödinger and Schrödinger-Feynman simulators for quantum circuits
 * TensorFlow Quantum
   A library for hybrid quantum-classical machine learning

Hardware
 * Overview
 * Our lab

Research
 * Overview
 * Publications
 * Conferences
 * Outreach
 * Diversity

Education Team
 * Overview
 * Careers

Mehr



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 * 

 * Software
   * More
 * Hardware
   * More
 * Research
   * More
 * Education
 * Team
   * More

 * Tools for quantum computing research and development
 * See all tools
 * Programming framework
 * Cirq
 * Computing service
 * Quantum Virtual Machine
 * Libraries and extensions
 * OpenFermion
 * qsim
 * TensorFlow Quantum

 * Overview
 * Our lab

 * Overview
 * Publications
 * Conferences
 * Outreach
 * Diversity

 * Overview
 * Careers


 * Google Quantum AI


EXPLORE THE POSSIBILITIES OF QUANTUM

Google Quantum AI is advancing the state of the art of quantum computing and
developing the tools for researchers to operate beyond classical capabilities.

Explore Cirq Explore our hardware


GET STARTED WITH TOOLS AND DOCUMENTATION

Our software and hardware are specifically designed for building novel quantum
algorithms to help solve near-term applications for practical problems.

Learn more
Framework


CIRQ

Cirq is a Python library for writing, manipulating, and optimizing quantum
circuits and running them against quantum computers and simulators.
Learn more
Library


OPENFERMION

An open source library for compiling and analyzing quantum algorithms to
simulate fermionic systems, including quantum chemistry.
Learn more
Library


TENSORFLOW QUANTUM

An open source library for hybrid quantum-classical machine learning.
open_in_new Learn more



HARDWARE OVERVIEW

See details of our leading quantum hardware and the types of experiments we are
working on.
Learn more



HARDWARE SPECIFICATIONS

Learn about the performance and functionality of our latest quantum processors.
View the datasheet


DISCOVER THE
QUANTUM AI CAMPUS

Our campus in Santa Barbara is home to a state-of-the-art quantum data center,
fabrication facility, research lab and workspace to enable new advancements in
quantum computing.

Explore


FEATURED PUBLICATIONS

Our research efforts aim to build quantum processors and develop novel quantum
algorithms.

Learn more Browse all publications


QUANTUM SUPREMACY USING A PROGRAMMABLE SUPERCONDUCTING PROCESSOR

On Oct 23, 2019, Google announced it performed a calculation on a quantum
processor in 300 seconds that would be impractical with the algorithms available
at the time.
open_in_new Blog post open_in_new Paper



TOPOLOGICAL QUANTUM STATES

We experimentally explore topologically ordered quantum states, including
simulating the braiding of elusive anyons and encoding logical qubit states we
plan to use for quantum error correction.
open_in_new Paper



ACHIEVING PRECISION IN QUANTUM MATERIAL SIMULATIONS

We outline a blueprint for achieving record levels of precision for the task of
simulating quantum materials.
open_in_new Paper



DEMONSTRATING THE FUNDAMENTALS OF QUANTUM ERROR CORRECTION

We outline in this paper how we use quantum repetition codes to demonstrate a
new technique for reducing the amount of correlated errors in our physical
qubits.
open_in_new Paper


NEWS AND UPDATES


OUR QUANTUM COMPUTING JOURNEY

Learn about the challenges and milestones on our path to building the world’s
first fault tolerant quantum computer. Along the way, you’ll explore NISQ-era
advancements and applications on the horizon as we discover what lies beyond
classical computing.
Explore



ANNOUNCING TENSORFLOW QUANTUM: AN OPEN SOURCE LIBRARY FOR QUANTUM MACHINE
LEARNING

Machine learning (ML), while it doesn’t exactly simulate systems in nature, has
the ability to learn a model of a system and predict the system’s behavior. Over
the past few years, classical…
open_in_new Read more



QUANTUM SUPREMACY USING A PROGRAMMABLE SUPERCONDUCTING PROCESSOR

Physicists have been talking about the power of quantum computing for over 30
years, but the questions have always been: will it ever do something useful and
is it worth investing in?
open_in_new Read more



IMPROVING QUANTUM COMPUTATION WITH CLASSICAL MACHINE LEARNING

One of the primary challenges for the realization of near-term quantum computers
has to do with their most basic constituent: the qubit. Qubits can interact with
anything in close proximity…
open_in_new Read more


RESOURCES


OUR FOCUSED AND RESPONSIBLE APPROACH

open_in_new Read here


EDUCATIONAL RESOURCES

Learn more


GITHUB REPOSITORIES: QUANTUMLIB

open_in_new Explore


TECHNICAL QUESTIONS: STACK EXCHANGE

open_in_new Explore


COMMUNITY

We are dedicated to cultivating an open and inclusive community to build
software for near term quantum computers, and we welcome contributions from the
community.


JOIN OUR WEEKLY OPEN SOURCE MEETINGS

We host virtual open source meetings every week. Join our email lists to get
invited to the ongoing open source meetings relevant to your work.

CIRQ WEEKLY SYNC

Subscribe: cirq-dev

OPENFERMION WEEKLY SYNC

Subscribe: openfermion-dev

TENSORFLOW QUANTUM WEEKLY SYNC

Subscribe: tfq-dev

QUANTUM CIRCUIT SIMULATION WEEKLY SYNC

Subscribe: qsim-qsimh-dev


CONTRIBUTE TO OPEN SOURCE CODE

Whether you are a researcher who wants to push the boundaries of what's
available for NISQ computers, a software engineer, a technical writer, or a
student who is excited about quantum computing, we welcome your contributions to
our open source code available on GitHub.

GETTING STARTED

If you are looking for something to help out in Cirq, see the list of good first
issues to get started.

open_in_new Learn more

REQUEST FOR COMMENT

For larger features, check out our RFC process to learn how to contribute.

Learn more


JOIN OUR TEAM

We’re looking for talented people to join our team to push the state of the art
in quantum computing.

Join us

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 * SOFTWARE
   
   * Overview
   * Cirq
   * Quantum Computing Service


 * HARDWARE
   
   * Overview


 * RESOURCES
   
   * Education
   * GitHub
   * Stack Exchange
   * Citing Google Quantum AI


 * ENGAGE
   
   * Contribute process
   * Request for comment
   * Careers

 * Terms
 * Privacy
 * Join the Cirq mailing list for updates Sign up

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