Quantum computing and quantum physics are on the rise - and they are not slowing down. #QuantumComputing #QuantumPhysics #DeepTech #Innovation #FutureOfComputing

Happy World Quantum Day everyone. Quantum computing is no longer just a physics story. It is becoming an execution story. Attending NVIDIA Quantum Day sharpened my view of where this space is heading. The biggest insight was clear: progress will not come from hardware alone, but from the system around it, AI for calibration, stronger error correction, scalable quantum algorithms, and tighter quantum-GPU integration. That is what makes this moment so exciting. Quantum technology is moving from research ambition to practical capability. And the people who understand that shift early will be better placed to shape the future of computing. Thank you to all the speakers who shared their perspectives and insights, especially Dr. Christopher Chamberland, Monica VanDieren, Yaniv Kurman, Juha Vartiainen, Linsey Rodenbach, PhD, Joan Camps, Mark Wolf, and Steven Frankel. The more I learn about quantum computing, the more convinced I am that this is one of the most important deep tech frontiers of our time. What do you think will unlock the next real breakthrough in quantum computing? #WorldQuantumDay #QuantumComputing #QuantumTechnology #DeepTech #Innovation #FutureOfComputing #Research

⚛️ Quantum Computing can't replace Classical Computing. Or can it? At the fundamental level — everything is quantum. Matter. Energy. Information. Reality itself. What the science actually says: ✅ P ⊆ BQP — proven. Quantum can simulate classical, efficiently. ❓ P ⊊ BQP — not proven. That quantum is strictly more powerful is still an open problem in CS. The engineering reality in 2026: — Caltech: 6,100 qubits (neutral atom, Sept 2025) — Google Willow: 105 qubits, but much higher fidelity — Fault-tolerant logical qubits: still extremely limited — Full software stack: barely exists The physics gives us permission. The engineering gap is what remains. Links in comments ⬇️ #QuantumComputing #ClassicalComputing #DeepTech #FutureTech #Engineering

Useful quantum computing is the next moonshot. Now it's time to build the rocket. ⚛️🌑🔧 At Alice & Bob, we spent our early years controlling a single cat qubit 🐈⬛, understanding its physics. Now the challenge is to scale these systems, and that’s a serious engineering problem. Day to day, that means tweaking a chip design again and again, aligning components that shrink when you cool them to temperatures lower than parts of outer space, or tuning signals with absurd precision. 🧠🔩 No one does it alone. Now we’re nearly 250 people, 30 nationalities, tackling one of the biggest challenges today: building a useful quantum computer. Hear about it from the team. 🎥 Full video here: 👉 https://lnkd.in/e4waGhVc #quantumcomputing #quantumphysics #quantumlab #deeptech

So great to see Quantum Machines technology supporting the work at Alice & Bob!! See below - a really nice example of how advanced control systems are enabling real progress in quantum labs ⚛️ 🥳 And PS - it's impossible not to love the name 'cat qubits'! 😊 🐈⬛

We often talk about quantum as a physics revolution. In reality, it’s an extreme engineering challenge. If you want to understand what it truly takes to build a quantum computer, this is worth a watch. Alice & Bob

⚛️ Episode 10: The Power of Qubits In classical computing, information is stored as bits—either 0 or 1. In quantum computing, we step into a fundamentally different paradigm. A qubit can exist in a superposition of both 0 and 1 simultaneously, enabling entirely new computational possibilities. In Episode 10 of our 100 Days of Quantum for Kids series, we introduce this foundational concept—bridging quantum physics with real computational systems. At IDEAL-Q Lab and IDEAL Labs, qubits are more than a concept—they are the building blocks of: Quantum Information Retrieval systems Advanced computational architectures Scalable quantum communication frameworks Under the vision of Dr Syed Khaldoon Khurshid, we are aligning early education with deep-tech innovation—ensuring the next generation understands not just what quantum computing is, but how it works at its core. 📌 Next: Quantum Gates — How we control qubits. #QuantumComputing #Qubits #QuantumAI #IDEALQLab #FutureOfComputing #QuantumEducation

🚀 From theory to reality: The rise of Topological Quantum Computing Check out this timeline to visualize how decades of physics breakthroughs are shaping the future of computing. Let’s see how everything connects: 🔹 In 1937, Ettore Majorana predicted particles that are their own antiparticles — a concept that would later inspire fault-tolerant qubits. 🔹 In the 1980s, physicists uncovered entirely new states of matter — topological phases — redefining how we understand materials. 🔹 In 1997, Alexei Kitaev proposed a bold idea: use these exotic states to build inherently stable quantum computers. 🔹 By 2016, this field was recognized with the Nobel Prize, awarded to David J. Thouless, F. Duncan M. Haldane, and J. Michael Kosterlitz. 🔹 Today, companies like Microsoft are exploring Majorana-based qubits, aiming to unlock scalable, fault-tolerant quantum systems. 💡 Why this matters: Topological quantum computing could solve one of the biggest challenges in quantum tech — error correction — by encoding information in a way that is naturally protected from noise. We’re witnessing a rare moment where deep theoretical physics is converging with real-world engineering. The journey isn’t over — but the direction is clearer than ever. #QuantumComputing #TopologicalQubits #DeepTech #Innovation #avenue78

The battle for quantum advantage just entered a new phase. While analog simulators have been showing incredible results in material modeling lately, a new breakthrough proves that digital (gate-based) quantum computers are not sitting still. A recent paper on arXiv (2603.06325) demonstrates the preparation of a complex 100-qubit Symmetry-Protected Topological (SPT) order on IBM hardware.IBM Quantum The secret? Not just better hardware, but smarter algorithms. They used a technique called Approximate Quantum Compiling (AQC), based on tensor networks, to "compress" deep quantum circuits into shallow ones. This allowed them to capture topological features with high fidelity before noise destroyed the computation. This is a game-changer for digital platforms. It proves that with the right software stack, we can simulate large, complex systems without waiting for fault tolerance. Do you think smart compilation will be the defining factor for practical digital quantum computing in the next 3 years? Let's discuss in the comments. Here is the arxiv version of the paper: https://lnkd.in/gH7DusC3 Credits:Dr. Volkan Erol #QuantumComputing #QuantumPhysics #IBMQuantum #DeepTech #MaterialScience #Physics #Innovation

Quantum mechanics isn’t just for physicists anymore – it’s paving the way for the next generation of computing! Traditional computers use bits, which are like tiny switches that can either be on (1) or off (0). Imagine trying to solve a complex maze. A traditional computer would check one path at a time, go back, and try another, which can take ages for massive problems. Quantum computers use qubits, which can be in a state of 1, 0, or both at the same time (it’s called superposition). Think of it like this: a quantum computer could check every possible path in that maze simultaneously! This technology has the potential to revolutionize fields like: * Medicine development * Financial modeling * Climate change research The future of computing is closer than you think. Want to dive deeper into the basics of quantum computing? Let's chat in the comments! #quantumcomputing #quantumtechnology #futureoftech #techinnovation #computing #stemeducation #scienceandtechnology #quantumphysics #deeptech #linkedin #post