We’re a
@Google
research team advancing the state of quantum computing & developing software & hardware for researchers to operate beyond classical capabilities
Today in
@Nature
,
@GoogleQuantumAI
and collaborators have braided non-Abelian anyons for the first time. Unlike all particles observed so far, the state of two non-Abelian anyons changes when they are swapped, opening an exciting path in quantum computing
We’re getting an exclusive first look inside of the
@Google
#QuantumAI
campus.
Tour the campus and learn about qubits and cryostats. We’ll top things off with the journey to building a useful quantum computer.
Come along →
Announcing our 3-year, $5 million
@XPRIZE
Quantum Applications. This global competition aims to generate
#QuantumComputing
algorithms that can be put into practice to help solve societally beneficial real-world challenges.
Learn more ↓
It’s World Quantum Day!
Join us in celebrating this global initiative aimed at promoting awareness about
#quantum
science and technology!
#WorldQuantumDay
Published in
@Nature
today, our joint work with collaborators
@Caltech
@Harvard
@MIT
@FermiLab
using our Sycamore quantum processor to study the dynamics of a quantum system equivalent to a wormhole in a model of gravity.
For all particles observed to date, a system remains unchanged when identical particles are braided. Decades ago, it was conjectured that braiding of non-Abelian anyons could cause an exception. For the first time, we have observed this exception
We're excited to announce a breakthrough in our journey towards a useful quantum computer.
Our latest publication in Nature is the first demonstration of a logical qubit protoype, showing it's possible to reduce errors by increasing the # of qubits.
Hello, many worlds! The official Quantum AI Twitter Channel is now live.
Discover the latest in
#quantumcomputing
research, hardware, and software we're developing.
Let us know in the comments below what you’re most interested to learn about ↓
#MeetQuantumAI
#QuantumAI
Today in PRX, we reveal a new quantum algorithm that offers an advantage for simulating coupled classical harmonic oscillators. This finding offers an exponential speedup over classical methods, unlocking a new method of quantum algorithm design. →
To celebrate
#WorldQuantumDay
, Research Scientist,
@DriptoDebroy
takes you behind the scenes of the Google Quantum Campus in Santa Barbara, California.
Check it out. ↓
Announcing a quantum computing partnership with the Universities of Chicago and Tokyo, that aims to advance development of a fault-tolerant quantum computer by supporting research, entrepreneurship, and workforce training.
Our scientists combined quantum Monte Carlo with quantum computation - creating an accurate method for calculating many-electron ground states.
Learn how this technique helps us understand the properties of molecules and new materials →
LIVE NOW: Day 1 of the Quantum Summer Symposium kicks off with a keynote address from our Director of Engineering Hartmut Neven. →
Tweeting about the event? Use
#quantumsymposium
to share your excitement.
SVP for Research Science & Technology James Manyika, Quantum AI COO Charina Chou, and other experts met with
@SecBlinken
at our SF offices to discuss quantum tech progress, emphasizing international collaboration's pivotal role.
We've written a tutorial that shows you how to reproduce the toric code ground states from our recent paper using ReCirq.
You can reproduce figure 1 of that paper, including the stained glass plots, by accessing the tutorial here:
Our team's annual Quantum Summer Symposium is back July 19-21!
Tune in to the livestream to learn the latest research results and product updates from the team and the broader quantum community. Register here:
#QSS22
Photons traveling in vacuum do not interact. However, on a superconducting processor, microwave photons can be made to interact and form bound states. In
@nature
, we report on the surprising stability of these photon bundles.
The Quantum Summer Symposium '21 schedule is LIVE.
Explore all the keynotes, technical presentations, workshops, and more happening this year, starting July 21.
Browse the full schedule →
Two new papers from our team detailing how we optimize our gates and measurements. Our work on beyond-classical computation, Majorana edge modes, non-Abelian braiding and quantum error correction was enabled by these optimizations.
Quantum processors promise to simulate otherwise-inaccessible quantum dynamics. Measuring difficult-to-compute observables with a Sycamore processor, we refute a widely-accepted conjecture that the Heisenberg chain is in the KPZ universality class.
Inherent symmetries of a quantum system may protect its fragile states.
In
@ScienceMagazine
, we examine the noise sensitivity of symmetry-protected edge modes in a solid-state environment →
Read more about our progress in developing useful beyond-classical quantum experiments that can be performed on current noisy quantum processors.
Introducing effective quantum volume, a framework for measuring the computational cost of experiments.
Our paper, recently published in Nature, reveals how measurements affect a web of entangled qubits and for the first time, measurement induced quantum teleportation. ↓
Watch how Marissa Giustina's curiosity about computer hardware at the age of 3, has led up to working on the
@GoogleQuantumAI
team as a Research Scientist & Quantum Electronics Engineer.
Check it out. →
In our new paper, we answer two questions: can we use the full exponentially large Hilbert space up to a noise limit in random circuit sampling (RCS)? And can we see that boundary experimentally?
We answer yes to both, showing a phase transition in RCS.
Information scrambled by complex quantum dynamics is exponentially hard to retrieve.
We demonstrate scrambling with tunable complexity on a 53-qubit Sycamore processor, a first step toward solving classically hard problems with quantum processors. ↓
Our team of
#Quantum
researchers are proud to present the latest research and scientific breakthroughs at this year’s
@APSMeetings
March Meeting.
Check out the speaker sessions happening next week at
#apsmarch
. ↓
Our plan is to build an error-corrected quantum computer in a decade. Put your knowledge to the test and see how fast you can build yours in the
#TheQubitGame
from
@doublespeakgame
and our engineers.
Play now →
This past weekend marked a historic moment for quantum computing - an exciting partnership between the U.S. and Japan to aid in the advancement of this critical technology for the future.
Additional details:
Photo credit: White House
Google welcomes the National Quantum Initiative Act reauthorization announced today.
We believe quantum computing will be uniquely capable of solving some of the world's most pressing issues and continued support is critical for the industry's success ↓
Check out our newest work on experimentally preparing many-body quantum states. Rather than using unitary evolution algorithms, we utilize engineered dissipation to steer a quantum system toward an entangled steady state.
Calling all Researchers and Educators. ↓
Today we're releasing Google's new Quantum Virtual Machine - a tool to unlock the potential of
#QuantumComputing
.
Start using the Quantum Virtual Machine to continue exploring the world of
#QuantumComputation
. ↓
Here's an example of Experimental comparison of Quantum Machine Learning (QML) vs. Classical Machine Learning (CML) algorithms for predicting the symmetry class of an operator.
Notice how QML successfully separates the two symmetry classes, but the CML fails to accomplish this.
Congratulations to Google Quantum AI's Michel Devoret on receiving the 2024 National Academy of Sciences’ Comstock Prize in Physics for advancing the field through the development and practical application of circuit quantum electrodynamics.
#NASmembers
Michel H. Devoret and Robert Schoelkopf of
@Yale
are the recipients of the 2024 Comstock Prize in Physics! They are being honored for their foundational work in quantum science. Read more:
#NASaward
#physics
#quantum
We're thrilled to announce an integration between qsim, our open source quantum circuit simulator, and the
@NVIDIA
cuQuantum SDK.
Now qsim users can make the most of GPUs when developing quantum algorithms and applications. Here's how →
Using our new hybrid quantum algorithm, we performed the largest ever quantum computation of electronic structure.
Learn how we used 16
#qubits
to calculate the energy of two carbon atoms in a diamond crystal with quantum Monte Carlo →
Qubits in quantum devices can leak energy to higher states, corrupting nearby qubits and acutely limiting the scalability of quantum processors. Our new approach reduces leakage and converts it to an error that quantum error correction can fix. More ↓
Exciting news! 🎉 QxQ is partnering with
@GoogleQuantumAI
for this year’s Intro to Quantum Computing course. With thousands of scholarships available, you’ll learn Cirq, Stim and Qualtran, and hear from their experts.
Apply by October 5th. →
Our Quantum Programming with Cirq 1.0 playlist is now live.
Learn how to program quantum computers using
@GoogleOSS
open-source framework called Cirq.
Bonus tip:
You don't have to leave Twitter to watch the full playlist.
Click to start watching. ↓
The Quantum Approximate Optimization Algorithm - What is it?
How do we apply and analyze it on problems such as MaxCut and the Sherrington-Kirkpatrick model?
Find out in this video presented by AI Resident, Joao Basso. →
#QuantumAITalks
Publishing in
@ScienceMagazine
, we engineer dissipative reservoirs that can steer many-body quantum systems toward low entropy steady states, establishing engineered dissipation as an alternative for preparing entangled states on NISQ processors →
A quantum processor was used to settle a long-standing debate in physics, revealing initial signs that a 1D Heisenberg spin chain at infinite temperature diverges from the KPZ universality class.
Learn more →
Presenting a framework, effective circuit volume, that quantifies the tradeoff between experimental noise of quantum simulations and classical computational cost. This guides us in discovering near-term quantum applications.
The
#NobelPrize
in Physics for 2022 will be announced soon. We’re excited by this -- whoever the winners are, they will represent a large community of scientists who have worked together for several decades across continents to advance science.
From creating GHZ states to simulating quantum error correction, you can emulate your circuit's performance on real quantum hardware using the Quantum Virtual Machine →
#QuantumComputing
I'm super excited to share our recent work with
@RobertHuangHY
Michael Broughton Jordan Cotler
@preskill
@GoogleQuantumAI
and coauthors that has rekindled my belief that quantum computers will show us something about the universe that would otherwise be absolutely invisible to us
The Google Quantum AI team is headed to the
@APSphysics
March Meeting.
Our researchers are excited to present their latest breakthroughs at this year's
#apsMarch
, starting Sunday.
Follow us for daily updates and details on sessions being led by our researchers.
Publishing
@science
, we discover evidence against widely accepted quantum dynamics conjecture.
From
@SubirSachdev
: "Superconducting qubit simulation discovered a regime of quantum dynamics that had not been anticipated by theory"
📖 →
At Google Quantum AI, we put an emphasis on bridging the gap between art & science.
We walked
@NewsHour
through the artwork in our
#QuantumComputing
lab created in partnership with artist
@foreststearns
.
Watch ↓
In 2019
@Nature
Google performed the first beyond-classical computation experiment by sampling from the output of large random circuits. Published in
@NaturePhysics
, we provide complexity theoretical evidence for the hardness of such sampling task ↓
From creating and transforming a circuit to choosing qubits on the processor, this example breaks down the basics of QVM.
Learn how to run a simple circuit on the Quantum Virtual Machine →
In a paper published earlier this month in Nature Physics, Google Quantum AI demonstrates a new technique for removing leakage from all qubits in each cycle of a quantum processor. This breakthrough could pave the (cont)
We're thrilled to have Umesh Vazirani from UC Berkeley join us at
#QSS22
this year. His expertise in the space makes for a compelling session. Tune in → to hear the talk: A cryptographic leash: Efficient quantum advantage and certifiable randomness.
Last week we hosted The Quantum Summer Symposium 2024 where we showcased advances in
#QuantumComputing
.
Highlights included sessions on NISQ and fault-tolerant applications, and quantum error correction.
We recently worked with QSimulate to develop the Fermionic Quantum Emulator (FQE), a fast emulator of quantum circuits that simulates the behavior of electrons.
Read more about FQE in our latest blog post →
At
#TED2024
, Google Quantum AI's Hartmut Neven explained fundamental quantum concepts, discussed current and future applications, and shared our mission to build a large-scale, error-corrected
#QuantumComputer
.
📸: Gilberto Tadday
What will it take to reach error-correction?
There's still a lot of work to do, but we are determined to build an error-corrected
#quantum
computer within the next decade.
Learn more about what it'll take and how far we've come since the first qubit →
Our ambition is to build a useful quantum computer to help accelerate solutions for some of the world’s most pressing problems.
Learn more about our journey →
#MeetQuantumAI
#QuantumAI
#quantumcomputing
What’s the best way to gain more insight on the experimental advantage in learning as it relates to quantum memory?
By tuning in LIVE as Robert Huang, IQIM, Caltech shares more about the topic →
#quantumsymposium
Maria Spiropulu, Professor of Physics at Caltech , presented a deep dive at
#QSS22
on how we use quantum computing for fundamental physics.
Watch Maria's talk here →
The Quantum Virtual Machine is a powerful resource designed to emulate a Google
#QuantumComputer
.
With one click, you can learn how to begin building your custom QVM and use it to make circuits that perform well on current quantum hardware.
Start here ↓
The field of
#QuantumComputing
is rapidly evolving.
Join our Quantum AI team at
#GoogleIO
to discuss:
→ Common misconceptions
→ Applications right now and in the future
... and more!
Add the session to My I/O →
Excited to see Quantum Summer Symposium talks on your own schedule?
Watch the newly released
#QSS22
playlist on YouTube for videos on technical topics and discussions around the latest experiments in
#QuantumComputing
.
Tune in here →
Google Quantum AI COO Charina Chou discusses our recent advancements, the fundamentals of
#QuantumComputing
, and some of the theory behind it with Unreal Science.
Watch the interview to learn more ↓
Help shape the future of quantum computing.
Quantum computing grad students (and self-taught engineers) are invited to join this UX research study.
See details and eligibility ↓
Quantum foundations win the
#NobelPrize
!
Congratulations to Alain Aspect, John F. Clauser, and Anton Zeilinger on winning the 2022 Nobel Prize in Physics as pioneers of quantum information science! Our team remains humbled to follow in their footsteps.
BREAKING NEWS:
The Royal Swedish Academy of Sciences has decided to award the 2022
#NobelPrize
in Physics to Alain Aspect, John F. Clauser and Anton Zeilinger.
In our most recent paper, we show how a ring of qubits can be used to simulate electrons in a wire, revealing fundamental properties like energy & momentum. By processing data using a Fourier Transform, we are able to achieve record levels of precision.
In 24 hours, join us live to learn more about Google's progress made in quantum computer research.
Don’t miss the Quantum Summer Symposium starting at 9 am PT on July 21.
Details here:
Error-correction is essentially a trade-off of quantity for quality.
Research Scientist, Mike Newman discusses estimates for the overhead of
#quantum
error-correction using the honeycomb code and compares it to surface code.
Watch
#QuantumAITalks
here →
This
#WorldQuantumDay
, we're excited to help educate the next generation of quantum technologists.
Learn about our collaborations with universities around the world, and our grant to the Santa Barbara Education Foundation to support education in STEM. ↓
We had the pleasure of hosting guests who attended
@KITP_UCSB
's conference on Advances and Applications of Noisy Intermediate-Scale Quantum Systems. We joined together to celebrate one of the giants of our field, Peter Zoller, on his 70th birthday at our Santa Barbara campus.
Quantum application research is sometimes compared to being a hammer in search of nails.
In this
#QuantumAITalks
video, research scientist Tom O’Brien teaches us about a potentially fertile and understudied nail field out of hamiltonian learning.
→
In this video, get a tour of the Quantum AI campus and find out how progress in
#quantum
hardware are enabling us to explore more complex NISQ experiments and applications.
→
#QuantumComputing
#AI
#Physics
Topological order has revolutionized quantum matter and quantum error correction.
In our recent paper in
@ScienceMagazine
, we show the potential for quantum processors to provide new insights. Full text →
Questions? Ask
@KJSatz
or
@PedramRoushan
.
Excited by the latest experiments in
#QuantumComputing
? So are we.
We're kicking off this week with
#QuantumAITalks
, our new YouTube series featuring long-form videos on technical topics.
Subscribe →
Since our 2019 work on RCS with 53 qubits, experiments with larger quantum systems have been reported, while classical algorithms have also improved significantly.
We extend these results by reporting RCS on 70 qubits and outperforming all known classical algorithms.
Congratulations to our own Michel H. Devoret, as well as Ana M. Rey and David P. Divincenzo from the broader quantum community, on being elected to the National Academy of Sciences
@theNASciences
We are thrilled to announce the election of 120 members and 23 international members to the National Academy of Sciences in recognition of their distinguished and continued achievements in original research.
Congratulations to our new
#NASmembers
!
#NAS160
Discover why accurately estimating quantum resources is essential for understanding the overhead of error correction and ensuring that quantum hardware can handle applications like fusion energy and beyond. →
Imagine you have already identified a quantum circuit that can be used to solve a problem.
In this video, we'll show you how to quickly install Cirq 1.0 in Colab and build quantum circuits.
Cirq 1.0 makes it easier for you to take advantage of the rich set of libraries that are built for Python throughout your work including:
- TensorFlow Quantum
- OpenFermion
- Pytket
- Mitiq
- Qsim
Learn about it's features here. ↓
The
@DeutschesMuseum
preserves artifacts that represent the beginning of new eras in science and technology.
We're honored to now have our Sycamore quantum processor in the museum alongside other great technological achievements.
Creating many-body quantum states on quantum computers is no easy feat, but our Sycamore
#quantum
processor has made it possible.
Catch the latest issue of
@PhysicsWorld
where
@PedramRoushan
describes the team's recent work on time crystals.
Read more ->
What's it like to use a quantum computer?
#TED2024
attendees who stopped by our booth got an exclusive look behind the scenes in our lab, diving into the fundamentals of quantum programming.