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 → goo.gle/48Gnbtl

Google Quantum AI is now accepting proposals for the Willow Early Access Program. We are seeking proposals for experiments that can be run on our Willow processor that have the potential to produce foundational, high-quality results. Learn more → goo.gle/4sEyQzW

Google Quantum AI is expanding to include neutral atom research with our superconducting program. Complementary paths will accelerate our mission to build a large-scale, error-corrected quantum computer—an engineering challenge we are excited to tackle. goo.gle/40TycSV

Discover the latest quantum computing research at APS Global Physics Summit 2026, March 16–19. From optimized algorithms to superconducting qubits and error characterization, there’s a lot to explore → goo.gle/46UJFoI

Join us at APS Global Physics Summit 2026 (Mar 16–19) to see the latest in quantum error correction, algorithms, and scalable systems from Google Quantum AI. Which session are you excited for most? Schedule: goo.gle/46UJFoI

Did you know quantum processors must be kept near absolute zero, colder than deep space? These temperatures reduce noise and maintain quantum coherence, making quantum computing possible.

Yesterday we co-hosted a roundtable with Google Quantum AI on the future of quantum applications. Leaders from industry and government discussed algorithm + hardware progress, smart policy, real-world use cases, and scientific cooperation. Thanks to Google and all who joined.

The XPRIZE Quantum Applications competition is looking for teams turning quantum ideas into practical applications. See what qualified the 2025 Phase I finalists and what to expect as Phase II and wildcard entries open ↓ goo.gle/3NAEYti

Building a long-lived logical qubit is essential for the next stage of quantum computing—and our next milestone. In our "Hard Quantum Words" series, our team takes on the challenge of simplifying the concept. Who explained it best?

Four decades ago, R. Feynman envisioned quantum processors for quantum simulation. In this article, our research scientists discuss instances where these processors have enabled small discoveries—“discoverino.” → science.org/doi/10.1126/sc… → arxiv.org/abs/2512.08293

Explaining quantum computing is a challenge. Explaining Out-of-Time-Ordered Correlators (OTOCs) is on a whole other level. our Hard Quantum Words series, we asked our researchers to break down the algorithm behind Quantum Echoes.

Quantum advantage is a core concept in quantum computing, but can it be explained in simple terms? In our new series, Hard Quantum Words, watch to see our researchers take on the challenge.

Happy holidays from the Google Quantum AI team! As qubits entangle and coherence holds, we look forward to what the new year has in store.

Communicating with qubits is tricky, they must stay isolated to preserve their state yet still “hear” our signals. Our researchers are developing control systems that send commands and collect data without disturbing their fragile quantum states → goo.gle/3KCvOeN

Congratulations to the finalists of the XPRIZE Quantum Applications competition. These 7 teams demonstrate the potential to pioneer quantum algorithms that can outperform classical computers and solve real-world problems. goo.gle/4iQtk95

Congratulations to the 2025 physics laureates! Watch the very moment John Clarke, Michel H. Devoret and John Martinis received their Nobel Prize diplomas and medals during the 2025 Nobel Prize award ceremony. #NobelPrize

In honor of today’s ceremonies, we celebrate 2025 Nobel Laureate in Physics, Michel Devoret! He shares the prize with John Martinis & John Clarke for the foundational circuits that became the basis of our quantum chips today. Watch Michel's incredible journey.

It’s long overdue for Quantum and Classical computation to set some healthy boundaries. Using Willow, we demonstrated a clear quantum advantage on the bounded-resource 2D hidden linear function problem function and several other quantum games. arxiv.org/abs/2512.02284

Think you need a PhD for a job in quantum computing? Not necessarily, our quantum researchers joined from physics, engineering & even cryogenics. What unites them is curiosity and a drive for excellence. Learn more about Google Quantum AI team here → goo.gle/48tCV2A

Thank you to our partners @TU_Muenchen & @UoN_Physics

Using quantum simulations, researchers were able to observe the behavior of "invisible strings" that tie together particles. From stretching, to vibrating, to creating new particles, here's what we found → goo.gle/4kwssqk