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Today’s #GoogleDoodle celebrates #WorldQuantumDay by exploring the principles of quantum mechanics using thaumatropes — a simple optical illusion — to illustrate the complex concept of superposition.

Happy #WorldQuantumDay! Quantum computing started with a theory—now, it’s becoming a reality, and we’re working toward real world applications beyond the reach of classical computing. See how far we've come and where we're headed next.

Today is #WorldQuantumDay! 🖥️ We stand at the brink of a computing revolution. Through XPRIZE #QuantumApplications, we are incentivizing teams to generate quantum computing algorithms that can help solve real-world problems. Learn more: xprize.org/qc-apps

This #WorldQuantumDay, let's explore the principles of quantum mechanics using thaumatropes to illustrate superposition! Check out today's Doodle, created to show how something can be in multiple states at once ↓ goo.gle/3Ets5Nm

Incredible to think that it’s been 100 years since the discovery of quantum mechanics, which fundamentally changed our understanding of nature. Applying those same principles for computation is perhaps the biggest engineering challenge of our time, but one with incredible

To celebrate #WorldQuantumDay we want to share with you our vision of quantum computing's future impact. From medicine to new energy, we're working with the international quantum ecosystem to help solve impossible problems. Learn more → goo.gle/4ilGedv

How quantum could supercharge Google’s AI ambitions cnbc.com/2025/04/18/how…

.Google Quantum AI is briefing @HouseScience on how quantum computing will help shape a brighter future by solving otherwise unsolvable problems in fields like drug discovery, industrial chemistry, energy, and more. (1/8) Tune in: science.house.gov/2025/5/from-po…

As Google Quantum AI's Dr. Charina Chou shared in today's House Science Committee hearing, we're seeing incredible progress in quantum computing. At our current rate of innovation, within five years we expect to see real-world applications possible only on quantum computers.

ICYMI: “The Willow chip really paves the way for a useful, large scale quantum computer down the road.” Hear the latest on Quantum AI from Sundar Pichai at #GoogleCloudNext ↓ goo.gle/4jcB0SM

Willow marks a significant step forward in quantum computing. Learn how Quantum AI is advancing towards a large-scale, error-corrected quantum computer—a tool that could one day address challenges previously thought beyond reach. Learn more → goo.gle/3Zs9xUt

We investigate a way to measure properties of quantum systems more efficiently using shadow tomography. Using a new method, we were able to estimate quantum observables with fewer samples, less computation, and practical measurements. Learn more → goo.gle/3E3XfuM

Everything — yes, everything — we announced at #GoogleIO, including when, where and how to get your hands on all the new models and features ↓ goo.gle/3SHmsi7

Understanding genuine progress in quantum computing is not always straightforward. Dive into this with Julian Kelly and Sinead Bovell in this #GoogleIO session to address how to assess breakthroughs, applications, and more ↓ goo.gle/4jibAlJ

In our Santa Barbara labs, we’re making real progress with Willow, our new quantum chip. It's more accurate than previous quantum chips, and could help solve problems we can’t even imagine yet. Learn more ↓ youtube.com/watch?v=5xN8vl…

Random Circuit Sampling has been a key quantum benchmark — and with the Willow chip, we’ve pushed far beyond classical limits. Next up: achieving the first useful beyond-classical computation. Learn more → goo.gle/3Zs9xUt

In nature, researchers from Google Quantum AI, TU München, & UoN Physics & Astronomy simulated a (2+1)D lattice gauge theory and visualized string dynamics, revealing the deconfined-to-confined excitation transition as the effective electric field increases. → goo.gle/4kwssqk

Researchers from our team and Carnegie Mellon University just published in PRX on a new family of quantum algorithms that provide a quartic speedup for a broad class of planted inference problems that may have applications in cryptography and learning. Read more ↓ goo.gle/4dL8EwJ