Quantum Artificial Intelligence Lab (QuAIL), Ames Research Center, Mountain View, California, USA

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The Quantum Artificial Intelligence Lab (also called the Quantum AI Lab or QuAIL) is a joint initiative of NASA, Universities Space Research Association, and Google (specifically, Google Research) whose goal is to pioneer research on how quantum computing might help with machine learning and other hard computer science problems. The lab is hosted at NASA's Ames Research Center.[

Google Quantum AI lab - quantumai.google

research.google/research-areas/quantum-computing

youtube.com/@GoogleQuantumAI

twitter.com/GoogleQuantumAI

nasa.gov/intelligent-systems-division

usra.edu/quantum

Quantum Artificial Intelligence Lab on Wikipedia

Founder and Leader - Hartmut Neven

Group Lead - Eleanor Rieffel

Projects:

Bristlecone, quantum processor

D-Wave Two
 
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Google and NASA's Quantum Artificial Intelligence Lab

Published on Oct 11, 2013

A peek at the early days of the Quantum AI Lab: a partnership between NASA, Google, USRA, and a 512-qubit D-Wave Two quantum computer.
 

Demonstrating quantum supremacy

Oct 23, 2019

We’re marking a major milestone in quantum computing research that opens up new possibilities for this technology. Learn how the Google AI Quantum team demonstrated how a quantum computer can perform a task no classical computer can in an experiment called "quantum supremacy."
 

Google Quantum AI update 2022

Apr 14, 2022

The Quantum AI team's mission is to build a useful quantum computer and to discover novel applications that could one day help solve challenging, real-world problems for humanity that would otherwise be impossible.

In our latest Quantum AI update, hear Hartmut Neven's thoughts on potential quantum applications and Erik Lucero's update on building an error-corrected quantum computer.

Speaker: Harmut Neven and Erik Lucero
 

Meet Willow, our state-of-the-art quantum chip

Dec 9, 2024

The Google Quantum AI team is proud to announce Willow, our latest quantum chip. Willow has state-of-the-art performance across a number of metrics, enabling two major achievements. First, Willow can reduce errors exponentially as quantum processors scale up using more qubits. This cracks a key challenge in quantum error correction that the field has pursued for almost 30 years. Second, Willow performed a standard benchmark computation in under five minutes that would take one of today’s most powerful supercomputers 10 septillion years! That is 10^25 or 10,000,000,000,000,000,000,000,000 years — a number that vastly exceeds the age of the universe. With these and other breakthroughs, the Willow chip is a major step toward building a useful, large-scale quantum computer that could harness quantum mechanics by advancing scientific discovery and tackling some of society's greatest challenges. Hear directly from Director of Hardware, Julian Kelly, who leads the Google Quantum AI team driving this groundbreaking research.

"Unlocking the Potential of Quantum Computing: A Developer’s Guide to Error Correction"

by Austin Fowler
December 9, 2024
 

Quantum’s next leap: Ten septillion years beyond-classical

Dec 9, 2024
In 2019, Google made history by demonstrating the first beyond-classical computation, performing a benchmark task in 200 seconds—that would have taken one of the world’s fastest classical supercomputers at the time 10,000 years.Fast forward to 2024, and Google’s latest quantum chip, Willow, has redefined what’s possible. As a measure of Willow’s performance, we reran the random circuit sampling (RCS) benchmark and the results are astonishing. Willow completed the task in 300 seconds, which would take one of today’s fastest classical supercomputers 10 septillion years. That’s 10^25 or 10,000,000,000,000,000,000,000,000 years.This is a timeframe longer than the age of the universe itself!In this discussion, you’ll hear from:
  • Sergio Boixo, Principal Scientist at Google Quantum AI
  • Hartmut Neven, Vice President of Engineering at Google Quantum AI
  • John Preskill, Director, Institute for Quantum Information and Matter at Caltech
What is random circuit sampling (RCS)? Pioneered by our team and now widely used as a standard in the field, RCS is the classically hardest benchmark that can be done on a quantum computer today. RCS is used to demonstrate the rapidly growing gap between quantum and classical computers and highlights how quantum processors are peeling away at a double exponential rate and will continue to vastly outperform classical computers as qubits are scaled up. It involves generating and measuring the output of random quantum circuits, which are sequences of quantum gates applied to qubits in a seemingly arbitrary fashion.RCS is not designed to solve any practical problems but rather to highlight where quantum computers can outperform classical computers. When a quantum computer completes RCS in a fraction of the time it would take a classical computer, it demonstrates quantum advantage or beyond-classical performance.What will we see in this video? In this discussion of the Google Quantum AI team’s latest groundbreaking news, Hartmut Neven, John Preskill, and Sergio Boixo explore the meaning of this quantum milestone. Neven emphasized the exponential growth in compute power for classical supercomputers that has been outpaced by what’s now described as “Neven’s Law”--a double exponential increase in quantum processing capability.Preskill highlighted the resilience of quantum systems, which, despite inherent noise and errors, outperform classical supercomputers by running millions of simulations in mere minutes. This progress underscores quantum computing’s potential to tackle complex quantum systems and even discover new forms of matter.The RCS benchmark is not practical for real-world applications, but it’s a critical proving ground. As Sergio Boixo explained, if a quantum processor can outperform classical systems here, it opens doors to broader computational breakthroughs.Google’s roadmap aims to develop quantum chips with a thousand logical qubits, translating to a million physical qubits. Milestone by milestone, the team is steadily progressing toward building quantum systems for real-world and commercially relevant applications.This leap in quantum computing is not just a technological marvel—it’s a step toward unlocking unprecedented solutions for science, industry, and humanity. Stay tuned as Google continues to push the boundaries of what’s computationally possible.
 
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