Google Quantum AI achieves practical quantum advantage with 65-qubit processor

🚀 Quantum Just Got Real. People ask me "when" all the time, I've said be ready in 2026 - Google just proved me wrong 😀 Today, Google hit a milestone that will be remembered for decades: The first verifiable quantum advantage — powered by their Willow quantum chip. ⚛️ This isn’t a lab trick or marketing buzzword. It’s the moment quantum computing moved from theory to proof. ✅ 105 superconducting qubits ✅ 99.97% gate fidelity ✅ 1 trillion measurements ✅ 13,000× faster than top supercomputers ✅ Verified by Nature Willow didn’t just crunch random math — it simulated the interactions of real molecules, the kind of work that drives: 💊 Drug discovery 🔋 Battery innovation 🌎 Materials science 🤖 AI model acceleration For context — it took 40 years of engineering evolution, from macroscopic quantum effects in 1985 (earning the 2025 Nobel Prize) to today’s quantum echo algorithms that literally reverse time in data to extract meaning. We’re now entering the useful quantum era — and Google just turned the key. 🔑 If Willow scales, the implications aren’t futuristic anymore — they’re imminent. Quantum is about to do for physics what AI did for language. #QuantumComputing #GoogleAI #Innovation #Physics #QuantumAdvantage #FutureTech #AI #Leadership

Google’s Quantum Leap - From “Supremacy” to Usefulness Big news in quantum computing today. Google just unveiled a new algorithm - Quantum Echoes - that runs 13,000 × faster than a top supercomputer on the same task. This isn’t another theoretical benchmark. It’s the first time a quantum algorithm has shown real scientific value - accelerating simulations in drug discovery, materials design, and chemistry (NMR analysis) that could eventually lead to new medicines or stronger, lighter materials. The project is led by Nobel laureate Michel H. Devoret, now at Google’s Santa Barbara quantum lab, using their superconducting-qubit chip Willow. Published today in Nature, the result marks the shift from quantum supremacy (beating classical machines on a meaningless test) to quantum advantage (solving problems that actually matter). Why it’s important: * Shows quantum algorithms catching up with hardware. * Hints at real-world impact in molecular modeling and drug design. * Validates the promise that error-corrected qubits will soon outperform classical HPC for useful workloads. It’s still early days - but this feels like the first practical step into the post-supercomputer era. #QuantumComputing #AI #GoogleAI #SuperconductingQubits #DrugDiscovery #QuantumAdvantage

Google’s Quantum AI team has just demonstrated a verifiable quantum algorithm capable of running 13,000x faster than classical computing methods - a milestone that reshapes what we once thought was computationally possible. 🧠💡 Here’s what makes this breakthrough truly remarkable: 🔸 Verifiable Quantum Computation – The results from this algorithm aren’t just faster; they’re verifiable. This means the outcome can be repeated by other quantum systems or validated experimentally - ensuring reliability, not just speed. 🔸 Real-World Impact – The algorithm successfully computed the structure of a molecule, a complex task that even supercomputers struggle with. This paves the way for quantum computing in drug discovery, materials science, and semiconductor innovation. 🔸 Quantum Supremacy in Practice – Powered by Google’s “Willow” quantum processor, this algorithm - named Quantum Echoes is an example of how quantum systems can outperform classical processors by orders of magnitude. This isn’t just research - it’s a glimpse into the next generation of computing where physics meets computation, and algorithms meet atomic-level precision. Quantum computing is gradually transforming from theoretical models to verifiable, real-world applications, and that’s what makes this moment so powerful. Kudos to Sundar Pichai and the Google Quantum AI team for leading the world into this new frontier of innovation. 🌍✨ Read more here: https://lnkd.in/eQ8PsFsh

Google’s Quantum AI team has just demonstrated a verifiable quantum algorithm capable of running 13,000x faster than classical computing methods - a milestone that reshapes what we once thought was computationally possible. 🧠💡 Here’s what makes this breakthrough truly remarkable: 🔸 Verifiable Quantum Computation – The results from this algorithm aren’t just faster; they’re verifiable. This means the outcome can be repeated by other quantum systems or validated experimentally - ensuring reliability, not just speed. 🔸 Real-World Impact – The algorithm successfully computed the structure of a molecule, a complex task that even supercomputers struggle with. This paves the way for quantum computing in drug discovery, materials science, and semiconductor innovation. 🔸 Quantum Supremacy in Practice – Powered by Google’s “Willow” quantum processor, this algorithm - named Quantum Echoes is an example of how quantum systems can outperform classical processors by orders of magnitude. This isn’t just research - it’s a glimpse into the next generation of computing where physics meets computation, and algorithms meet atomic-level precision. Quantum computing is gradually transforming from theoretical models to verifiable, real-world applications, and that’s what makes this moment so powerful. Kudos to Sundar Pichai and the Google Quantum AI team for leading the world into this new frontier of innovation. 🌍✨ Read more here: https://lnkd.in/eQ8PsFsh

After achieving quantum supremacy in 2019, Google has once again advanced the field — publishing a new breakthrough quantum algorithm in Nature that charts a path toward real-world quantum computing applications. Here is the summary: 🚀 Google achieves the first verifiable quantum advantage — a major leap toward real-world quantum computing. Google’s Quantum AI has demonstrated a new algorithm called Quantum Echoes (out-of-order time correlator (OTOC) algorithm), running on its 105-qubit “Willow” chip (superconducting quantum processor), achieving a ~13,000× speed-up over leading classical supercomputers. 🔹 Verifiable quantum advantage means the result isn’t just faster — it’s reproducible and checkable, unlike earlier “toy problem” demonstrations. ⚙️ What Quantum Echoes does The algorithm models a quantum echo — a signal sent into a quantum system, perturbed, then reversed in time. By “listening” to the echo, researchers can see how disturbances spread across qubits, revealing deep information about quantum dynamics. In collaboration with UC Berkeley, Google applied this technique to molecular simulations (15- and 28-atom systems), matching and extending results from NMR spectroscopy — providing richer quantum insights than classical tools alone. 🌍 Why it matters This is the first verifiable, physically meaningful demonstration of quantum advantage — a shift from abstract benchmarks to real scientific applications. It points toward breakthroughs in: 🧬 Molecular modeling 🔋 Materials & energy research 💊 Drug discovery Willow’s hardware shows major progress: • 105 qubits in a 2D lattice • 0.035 % avg single-qubit gate error • 0.33 % avg two-qubit gate error • 0.77 % measurement error • Demonstrated below-threshold error correction behaviour. 🔭 What’s next Google is now targeting “Milestone 3” — creating a long-lived logical qubit, the foundation for fully error-corrected quantum computing. Quantum Echoes is a stepping-stone, showing how today’s quantum processors can already deliver verifiable, physically relevant results. 💡 Even as classical computers remain vital, this milestone shows we’re entering the era where quantum hardware provides new kinds of knowledge — not just faster computing. The Nature paper: https://lnkd.in/dGCgar4z #QuantumComputing #GoogleAI #QuantumAdvantage #Innovation #Technology #Research #Physics

🚀 Google Just Hit a Major Milestone in Quantum Computing Google just announced something rather significant in quantum computing and this time, it’s not just a speed benchmark. Their new Willow chip has demonstrated the first verifiable quantum advantage, running 13,000x faster than classical supercomputers on a real physics problem. The keyword here is verifiable. Unlike Google’s 2019 “quantum supremacy” claim, this result can actually be checked and replicated. 🔬 How it works: They’re using an algorithm called Quantum Echoes to compute out-of-order time correlators (OTOCs) measurements that show how quantum information “scrambles” through a system. The math is elegant: send quantum operations forward, perturb one qubit, reverse everything, and analyze the “echo” that returns. The interference pattern reveals how disturbances propagate through the system. 🧪 Why it matters: They’ve applied this to determining molecular structures from NMR data, achieving parity with traditional methods while uncovering previously hidden information — validated on molecules with 15 and 28 atoms. What stands out is the shift from “trust us, it’s faster” to “here’s something you can verify against physical reality.” That’s the bridge between experimental physics and practical application. But the big questions remain: How close are we to seeing this power applied in drug discovery or materials science? Is 13,000x speed enough when we’re still operating with ~100 qubits? And can this verification approach scale beyond the problems we can still cross-check classically? Quantum computing is finally entering its “show, don’t tell” era. #QuantumComputing #GoogleAI #Willow #ComputationalChemistry

The Google Quantum AI team has just made history. Their Willow quantum processor ran a verifiable algorithm—Quantum Echoes—that computed a molecule’s structure 13,000× faster than one of the world’s most powerful supercomputers. This isn’t just faster computing—it’s a proof of quantum advantage that’s verifiable and repeatable. Other quantum systems or real experiments can confirm it, marking a new era in trustworthy quantum computation. Quantum computing promises to transform everything from chemistry to materials science, unlocking problems classical computers can’t touch. With this milestone, we’re closer than ever—Google believes real-world quantum  applications could emerge within five years. The quantum future isn’t coming—it’s already echoing through today’s computing world. https://lnkd.in/e6TV5HP8 https://lnkd.in/eG_vCTcC

If waiting for quantum computing to be developed to improve LLMs takes too long, reverse the process and use LLMs to develop quantum computing (so, subsequently, you can improve the very models, responsible for this advance). https://lnkd.in/ezVPJ5sx

“Let’s stay rational.” Congratulations to Google Quantum AI for this impressive benchmark — a beautifully designed experiment that demonstrates a verifiable quantum advantage on a problem carefully selected to challenge classical computers (complexity ∼ O(2^(2N))). This is not an HPC calculation, not a simulation of molecules or materials, but a fundamental physics exercise — the kind of problem Richard Feynman would have truly enjoyed. A real milestone for experimental quantum physics. That said, what comes next is predictable: an avalanche of exotic announcements, each claiming a “record,” each based on architectures increasingly incompatible with one another. It’s hard not to feel a bit of collective desperation. After all, the capital flows massively toward LLMs, where the ROI is immediate and visible, while the promise of quantum computing remains distant, uncertain, and extremely demanding. Let’s be honest for a second: How will 95% of these quantum start-ups — born to die — find a path to any useful business outcome other than the self-sustenance of a noisy ecosystem? Climbing a small 100 m hill tells us nothing about what it takes to reach Mount Olympus on Mars. We should keep our sense of proportion — this is one of the thousands of steps still ahead, and not even one of the hardest ones. Let’s celebrate genuine progress, but stay anchored in reason.

A step closer to a quantum computing reality. Over the last 35 years or so, huge leaps in computing efficiency have lead to huge increases in productivity, manufacturing advancement, and most recently significant enhancement to AI technologies. What impact could stable, affordable quantum computing have on the future? https://lnkd.in/eBKfnc-h