Google Quantum AI✓

We demonstrated verifiable quantum advantage with Quantum Echoes. Running 13,000x faster than leading supercomputers, this represents a significant step toward real-world applications. Watch →

RT @kaggle: Could we get more from a quantum computer by asking it to do less? ⚛️ Verifiable Quantum Circuit Compilation, hosted by @GoogleQuantumAI and Kaggle, is live! Build search and AI methods to compile quantum circuits for real-world bottlenecks in chemistry, fusion energy, and numerical analysis. 💰 Prize Pool: $150,000 ⏰ Entry Deadline: January 13, 2027

To bring quantum applications within reach sooner, we must compress the circuits that power them. Join our @Kaggle competition to build efficient, verifiable circuits using our new open source kickmix library:

Published in Science today: Magic state cultivation works in practice on our Willow processor. We achieved a 40x error reduction, compared to without cultivation, and 99.99% fidelity. Learn how this addresses a critical resource bottleneck:

Generating magic states is necessary to implement T-gates for a universal gate set. In a proof of principle experiment, we grafted these cultivated states onto standard encodings. Watch how this advances the path to scalable quantum computing:

Simulating the natural world requires computing systems that inherently operate on quantum principles. Google Quantum AI aims to build quantum computing for these otherwise unsolvable problems. ↓

Applications for GARA are closing this week on Aug 7. Submit your work now for Google's academic research awards, a global open call for groundbreaking foundational and applied research in quantum computing and technology. This cycle, Google is interested in proposals on early fault-tolerant quantum computing algorithms and applications, and quantum computing security. Apply at

Like an orchestra, quantum processors must stay perfectly in tune. Our research uses reinforcement learning to continuously correct system drift, akin to tuning the instruments while the music plays. Read the blog:

Apply now for Google’s academic research awards, a global open call for proposals on groundbreaking foundational and applied research in computing and technology. This cycle, Google is interested in proposals on early fault tolerant quantum computing algorithms and applications, and quantum computing security. Learn more and apply by August 7 at

Published today in @Nature: We've unified calibration with computation on our Willow processor, training a reinforcement learning agent to stabilize the logical qubit and pave the way towards a quantum computer that continuously learns from its errors. Read more:

Studying particle diffusion in quantum systems is a major classical computing challenge. Our Willow processor was used to demonstrate disorder-free localization via a quantum algorithm which offers a polynomial speedup for disorder sampling. Read more:

Today's executive orders are an important step to help ensure continued US leadership in quantum computing. Google was honored to participate in today's signing ceremony, and we look forward to continued collaboration with the U.S. government.

Last month, we hosted our annual Quantum Summer Symposium (QSS) at @DatalandMuseum, bringing together our partners, collaborators, and the broader quantum community. Watch the highlight reel to see a recap of the updates and discussions from the event:

Today, Charina Chou joins Semafor Tech: First Principles to discuss how emerging technologies like quantum computing can transform research achievements into to practical impact. Watch here:

In case you missed it: Hartmut Neven and James Manyika took the #GoogleIO stage to discuss the intersection of quantum computing and AI. If you couldn't make the session, watch the full recording to discover how these two technologies work together:

Quantum systems are everywhere, just look at nature itself. Our COO, Charina Chou, explains how quantum mechanics is hiding in plain sight.

How are quantum computing & AI working together to accelerate discovery? Tune in for Hartmut Neven & James Manyika’s discussion at #GoogleIO to explore how AI can build quantum hardware, while quantum unlocks new ways to train AI.

We’re launching REPLIQA: a $10M research initiative with @Googleorg and five leading universities to apply advanced quantum science and AI to the life sciences. Read more:

Our team ran a verifiable quantum algorithm that probes how parts of a quantum system interact, from molecules to magnets and beyond. On our Willow chip, it ran 13,000× faster than the best classical supercomputers. A first in quantum computing →

How do quantum algorithms become real-world tools? This five-stage framework maps the progression from discovery to deployment, showing where applications demonstrate advantage, can be further optimized, and hold the greatest potential. Learn more →