Google's Quantum AI team achieves 13,000x speed boost with verifiable algorithm

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 Quantum AI pushes toward practical quantum advantage ⚛️ Using its 65-qubit superconducting processor, Google Quantum AI ran a complex physics simulation 13,000x faster than the world’s most powerful supercomputer — marking a major leap into the beyond-classical regime. 🔹 New Quantum Echoes algorithm measured second-order out-of-time-order correlators (OTOC₂), revealing quantum interference phenomena that classical machines can’t efficiently replicate. 🔹 What would take 3.2 years on the Frontier supercomputer ran in just 2.1 hours on Google’s quantum processor. 🔹 First practical quantum advantage tied to real-world physics — extending applications like NMR spectroscopy and quantum chaos modeling. 🔹 Validates both hardware and algorithmic progress on Google’s dual-track quantum roadmap. “This makes good on Feynman’s dream,” said Hartmut Neven, VP of Engineering at Google. “Verifiable quantum predictions, generated and checked against nature itself.” 👉 Read the full article via the link in our comments.

Quantum computing may has just crossed a threshold. Quantum might no longer be theoretical as it’s probably about to become a tool. Here‘s the story: Google’s Quantum AI team has demonstrated a verifiable quantum advantage using the new Willow processor and the Quantum Echoes algorithm. For the first time, a quantum system delivered a result that is both faster and verifiable; outperforming classical supercomputers by a factor of roughly 13 000. The implications reach far beyond physics. Quantum modelling might soon reshape how we explore molecular structures, materials, and energy challenges… where classical computation hits its limits. This could be most important as these types of computation can help solve challenges we urgently need to tackle climate change or to fight cancer… So: Pressing thumbs, that we actually will see some progress here!! Strategically, this changes the question: Not if quantum computing will impact industries, but how and when it will be integrated into existing systems. Signals to watch: Domain-specific quantum tools replacing simulation bottlenecks. Hybrid architectures combining classical and quantum workflows. The rise of “quantum-ready” capabilities incl. data pipelines, algorithms, skills. Early movers defining the value logic before scalability arrives. Brace yourself.

"For the first time, a quantum system delivered a result that is both faster and verifiable; outperforming classical supercomputers by a factor of roughly 13 000."

🚀 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 Quantum AI Surpasses Classical Supercomputers With Algorithm 13,000 times Faster Than Classical Google Quantum AI's Quantum Echoes algorithm marks a milestone in quantum computing, achieving verifiable quantum advantage on hardware. This breakthrough brings real-world applications closer to reality. #quantum #quantumcomputing #technology https://lnkd.in/eMEmbcdf

🚀 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

Google Just Crossed a New Frontier in Quantum Computing 🤯 . This week marks a true milestone in science and technology. Google has achieved the first verifiable quantum advantage their new chip ran a physics simulation 13,000 times faster than one of the world’s top supercomputers. Unlike the 2019 “quantum supremacy” claim (which solved an abstract math problem), this breakthrough actually matters. The new Willow chip simulated how atoms interact inside real molecules—an ability that can reshape fields like: Drug discovery. Battery design. Advanced materials research. And the best part: The results are verifiable. Other quantum systems and labs can replicate the findings. That’s the difference between marketing and milestone. A few details worth noting: → 105 qubits with advanced error suppression. → 13,000× faster than classical supercomputers. → Published in Nature for peer review. For the first time, a quantum computer has done something useful and provable. We’re entering an era where chemistry, physics, and computation begin to merge. At this scale, the implications are profound: faster drug development, cleaner energy storage, and a new way to model the natural world itself. Quantum is no longer a promise it’s a turning point.

🌌 Quantum Computing: The Next Frontier of Technology In today’s digital age, Moore’s Law has guided decades of innovation, predicting exponential growth in classical computing power. But as transistors reach atomic scales, the question arises: What comes after classical computing? Enter Quantum Computing — a paradigm that leverages the principles of quantum mechanics to process information in ways previously unimaginable. ⚛️ What Makes Quantum Computers Different? Traditional computers use bits (0s and 1s). Quantum computers use qubits, which can exist as 0, 1, or both at the same time (superposition). Two key principles power this revolution: 1. Superposition → A qubit can represent multiple states simultaneously, enabling parallel computation. 2. Entanglement → Qubits can be correlated in such a way that the state of one instantly influences another, even across distance. These properties allow quantum computers to solve certain problems exponentially faster than classical ones. Potential Applications Quantum computing is not just theoretical — industries are already exploring practical applications: 1. Healthcare & Pharma → Drug discovery through molecular simulation. 2. Finance → Portfolio optimisation and fraud detection. 3. Logistics → Route optimisation for global supply chains. 4. Cybersecurity → Both a threat (breaking encryption) and a solution (quantum-safe cryptography). 5. AI & Machine Learning → Accelerating training of complex models. Where We Stand Today Tech giants such as IBM, Google, and Microsoft, as well as startups like Rigetti and IonQ, are racing to build scalable quantum systems. Quantum hardware is still experimental — today’s machines operate with only tens or hundreds of qubits, often unstable and error-prone. However, progress is steady: hybrid approaches that combine classical and quantum computing are already being tested. What It Means for Professionals 1. Upskilling matters: Understanding quantum basics (linear algebra, quantum mechanics, algorithms) can set you apart. 2. Interdisciplinary roles: Quantum computing will need physicists, computer scientists, software engineers, and business strategists. 3. Opportunities ahead: Just as cloud and AI reshaped industries, quantum will open new markets and career paths. Final Thought Quantum computing is still in its early days, but its potential is massive. Think of it like the internet in the 1980s — few could imagine how transformative it would be. The future belongs to those who embrace the quantum shift today. #MasaiVerse #DailyLearning #QuantumComputing

Pillars of Quantum AI Computing - Qubits, Superposition, Entanglement The revolutionary potential of QAI is rooted in three fundamental principles of quantum mechanics that govern how information is processed at the subatomic level: qubits, superposition, and entanglement.Qubits: The foundational unit of quantum information is the qubit. Unlike a classical bit, which can only exist in one of two definite states—either 0 or 1—a qubit can exist in a combination of both states simultaneously.4 Physically, qubits can be realized in various ways, such as through the spin states of an electron or the energy levels of an atom.2 This ability to hold more information than a classical bit is the first step toward the massive computational power of quantum systems.Superposition: The principle of superposition allows a qubit to be in a linear combination of the 0 and 1 states at the same time.4 When multiple qubits are combined, the number of possible states the system can represent grows exponentially. A system of $N$ qubits can exist in a superposition of all $2^N$ possible classical states simultaneously.11 This property enables what is known as "quantum parallelism," the ability of a quantum computer to perform many calculations at once on a single processor, exploring a vast solution space concurrently.8 A classical computer, by contrast, would need to perform these calculations sequentially or distribute them across a large number of parallel processors.9Entanglement: Perhaps the most counter-intuitive quantum phenomenon, entanglement describes a unique and powerful correlation between two or more qubits.8 When qubits are entangled, their fates are intrinsically linked; the state of one qubit directly influences the state of another, no matter how far apart they are physically separated.8 This "spooky action at a distance," as Einstein famously described it, allows for the creation of highly complex, coordinated computational states that are impossible to replicate in classical systems. Entanglement is a critical resource that enables quantum algorithms to solve certain problems exponentially faster than their classical counterparts by creating intricate computational webs that amplify parallel processing power.10