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
Google Quantum AI retweeted
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.
Google Quantum AI retweeted
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
Google Quantum AI retweeted
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
Google Quantum AI retweeted
Today we announce a significant step in quantum computing by introducing Quantum Echoes, a new quantum computational algorithm measuring out-of-time-order correlators. This verifiable quantum advantage paves the way for solving real-world problems. More: goo.gle/3Wl5hou

ALT Left: Quantum circuit measuring OTOCs of different orders, k. Qubits are initiated in the ground state, with one qubit in the state denoted by |𝜓M. A complex many-body evolution (U) is implemented by the quantum processor, consisting of one- and two-qubit operations applied to neighboring qubits on a two-dimensional grid. The evolution is reversed (U†) after perturbing one qubit with gate B, followed by a probe operation M on the initially prepared qubit |𝜓M〉. This repeats k times before measuring another qubit M. Right: Conceptual representation of OTOCs of different order as interferometers.
Google Quantum AI retweeted
New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage.
Willow ran the algorithm - which we’ve named Quantum Echoes - 13,000x faster than the best classical algorithm on one of the world's fastest supercomputers. This new algorithm can explain interactions between atoms in a molecule using nuclear magnetic resonance, paving a path towards potential future uses in drug discovery and materials science.
And the result is verifiable, meaning its outcome can be repeated by other quantum computers or confirmed by experiments.
This breakthrough is a significant step toward the first real-world application of quantum computing, and we're excited to see where it leads.
Google Quantum AI retweeted
(1/2) We’re proud to reveal the XPRIZE #QuantumApplications Semifinalists! 🖥️ Narrowed down from 133 submissions, these 20 Semifinalist teams are helping to bring quantum algorithm innovation from concept toward real-world capability. Learn more here: xprize.org/prizes/qc-apps/se…
Google Quantum AI retweeted
PennyLane and Qualtran integrated? Sweet! 🍬
This new integration merges the best features of both, enabling you to construct quantum circuits using a blend of @GoogleQuantumAI's Qualtran Bloqs and @PennyLaneAI's operations.
Check out how easy it is to use them together! 🔗👇
Google Quantum AI retweeted
Applications are open for the Google Academic Research Awards, a program that supports academic research in computing and technology that makes a positive difference in the world. Learn more and apply by July 23 at goo.gle/GARA goo.gle/GARA
Google Quantum AI retweeted
Error correction is a key component of tomorrow’s large-scale quantum computers. Today we’re excited to report the experimental demonstration of a color code system that provides an advantageous alternative to the well studied surface code. Check it out →goo.gle/4ljZwli
Google Quantum AI retweeted
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
Google Quantum AI retweeted
As @GoogleQuantumAI's Dr. Charina Chou shared in today's @housescience 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.
🚨 STARTING NOW: Full Committee hearing - "From Policy to Progress: How the National Quantum Initiative Shapes U.S. Quantum Technology Leadership"
WATCH HERE ⬇️
youtube.com/live/TH2dZAw6FnM…
Google Quantum AI retweeted
.@GoogleQuantumAI 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/fro…
Google Quantum AI retweeted
How quantum could supercharge Google’s AI ambitions cnbc.com/2025/04/18/how-quan…
Google Quantum AI retweeted
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
Google Quantum AI retweeted
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.
Google Quantum AI retweeted
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 potential payoff for science + humanity. #WorldQuantumDay
Google Quantum AI retweeted
With @JarrodMcclean and Dar Gilboa, we prove a new quantum advantage for learning periodic neurons in the quantum statistical query model!
arxiv.org/pdf/2503.20879
The hardness of this problem was studied long before this work by classical learning theorists. 🔎
Google Quantum AI retweeted
Quantum computers offer many promising applications dependent on greatly improved performance. Read how we’ve combined quantum error correction w/ our latest superconducting processor, Willow, exponentially reducing error rates w/ increasing qubit scale →goo.gle/3ZpJI7f
Google Quantum AI retweeted
Meet Willow, our newest quantum chip. In under 5 minutes, it's able to perform a benchmark computation that would take one of today’s fastest supercomputers 10 septillion years. (That's greater than the age of the universe!) Learn more ↓ goo.gle/3BkuaK2
























