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.

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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.

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Framework

Cirq

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

OpenFermion

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

TensorFlow Quantum

An open source library for hybrid quantum-classical machine learning.
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Hardware overview

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

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

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Featured publications

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

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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.
Blog post 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.
Paper

Achieving Precision in Quantum Material Simulations

We outline a blueprint for achieving record levels of precision for the task of simulating quantum materials.
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.
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.
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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…
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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?
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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…
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Resources

Our focused and responsible approach

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Educational resources

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GitHub repositories: Quantumlib

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Technical questions: Stack Exchange

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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.

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Request for comment

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

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Join our team

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

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