Alice & Bob

A Quantum Error Correction Masterclass, by Alice & Bob and Riverlane, hosted by European Quantum Industry Consortium (QuIC). 👀 Jérémie Guillaud, Chief of Theory at Alice & Bob, and Earl Campbell, VP of Quantum Science at Riverlane, join the first episode of the #QWave Webinar Series. Who better than them to talk about the latest in QEC? 🗓 𝗗𝗮𝘁𝗲: Friday, 27 September 2024 🕒𝗧𝗶𝗺𝗲: 15:30 - 16:30 CEST 🔍✨ Hosted by David Morcuende, this webinar will feature Jérémie’s insights into Alice & Bob's approach to 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗾𝘂𝗯𝗶𝘁𝘀 required to create a useful quantum computer, a key challenge in scaling quantum technology. Earl will focus on how Riverlane’s QEC software stack helps optimize quantum systems for greater efficiency and speed. With recent experiments from leaders like Google, Microsoft, Quantinuum,Amazon Web Services (AWS), QuEra Computing Inc. and Harvard University, the momentum around Quantum Error Correction is undeniable! So tune in to discover: 🤔 Why 𝗳𝗮𝘂𝗹𝘁-𝘁𝗼𝗹𝗲𝗿𝗮𝗻𝗰𝗲 is the key to unlocking quantum value 🧐 How Alice & Bob and Riverlane are advancing QEC technology Don't miss your chance to understand how these advancements can reshape the quantum landscape! We’d love to hear from you—bring your burning questions and curiosity! 🔴 Join us live: lnkd.in/d8fYqTTC #quantumcomputing #FTQC #QC #quantum

September Madness for quantum: first Google Quantum AI, and today, Amazon Web Services (AWS). 🤯 September has been W I L D for the quantum industry! Two major experimental breakthroughs have just been achieved and all on superconducting circuits 😏. 🥇 #Google has a logical qubit: The Google Quantum AI team published groundbreaking work showing, for the first time, that error correction works and can be run continuously, ✅ a crucial step toward developing a fault-tolerant quantum computer. Want to dive deeper? Here's our series of three posts about this: 1️⃣ https://lnkd.in/e7wXqchn 2️⃣ https://lnkd.in/egPuSiSg 3️⃣ https://lnkd.in/e52X-MGp 🙌 Amazon's #AWS ran an error correction code on our beloved cat qubits: For those who didn’t know, Amazon is also betting on cat qubits🐱, but hybridized with standard Transmons. After almost a year of suspense, they finally announced an impressive result: implementing a distance-5 repetition code just below threshold with 5 cat qubits and 4 ancillary transmon qubits. Everyone knew cats were hardware efficient, now it is demonstrated. 📍 Want to dive deeper? Here's John Preskill's post about it. 👉 https://lnkd.in/eHT2VvwA What does all this mean? Fault-tolerant quantum computers are overcoming challenges much faster than anyone anticipated. 🚀 At this pace, we’re excited to see what 2025 holds. 👀 Stay curious! #quantum #research #physics

What if quantum computers could simulate electromagnetic fields? 🤔 Alice & Bob is teaming up with Thales, with the support of Inria to explore just that. 👉 At their core, quantum computers are entangled systems, ⚛ meaning they have the potential to simulate electromagnetic fields exponentially faster. It’s speculative for now, but if we could make it happen... 🛰 We would design better products: Better simulations allow engineers to optimize designs for performance, efficiency, and safety. This is key for devices such as radars, antenna design, sensor systems, or electromagnetic interference. ⚗ We would accelerate research and development: With faster simulations, iterations become shorter and researchers can explore more complex problems in shorter timeframes, leading to quicker discoveries. 📡 We would improve simulations accuracy: Today’s electromagnetic simulations on classical computers sacrifice accuracy due to computational limits. Quantum-powered simulations could dive deeper, delivering hyper-accurate models for critical tech like medical imaging, radars, and wireless communication systems. 🔬 We would lower R&D costs, broadening access: Better simulations mean fewer physical prototypes, cutting R&D costs significantly. And cheaper R&D opens the door to more innovation, making advanced research accessible to universities and smaller research institutions. Alice & Bob, Thales and Inria are launching AeroQat, a project to unlock the potential of quantum-powered electromagnetic simulations. The dream team 🚀 Thales: one of the global high-tech leaders, defining commercial use cases, benchmarking algorithms, and testing performance. 🔍 Inria: France’s national digital research institute, conceiving quantum algorithm with cutting-edge programming and compilation tools. 🔧 Alice & Bob: Adapting algorithms and designing the quantum computing architecture to make it all feasible, while estimating timelines and resources needed for an actual quantum computer to achieve this feat. Together, we're charting the future of electromagnetic simulations. Stay curious! 🤓 #quantumcomputing #aerospace #physics #6G

We all know that working in deep-tech can feel like a rollercoaster sometimes. 🎢 So, we better get used to it… Here are 5 lessons we learned during one of the most fun and terrifying company offsites we’ve ever experienced: 1. Not everyone loves rollercoasters. Believe it or not, some people don’t enjoy being strapped into a tiny open-air seat, flipping upside down at 110km/h on 40m-high rails. However, they usually end up in a group with someone like Maria (more on her in point 2). It was a challenge, but incredibly rewarding, to find a pace that worked for everyone on the team. 🤝 2. True bonding happens outside your comfort zone. Sure, it would be easier to jump on "The Scrambler" with that colleague you already know everything about, but there’s something special about getting together with new people. For instance, finding out that Maria from HR used to skydive—and, of course, doesn't know what fear is—means you're suddenly on the scariest ride of the day... first thing after breakfast. ✈ 3. Our company lore finally clicked for everyone. The names of our first four cryostats (those famous golden, chandelier-like fridges) are: Cleopatre, Cetautomatix, Obelix, and Idefix—all characters from the beloved French comic "Asterix the Gaul." It all came together when we spent the day at an amusement park themed after this classic. 💡 4. Rollercoasters steal your voice. You don’t realize it until you’re back on the bus, but while you were hanging upside down, you were also screaming at the top of your lungs. The office was unusually quiet the next day—something we hadn’t experienced since karaoke night. 🎤 5. Beware of short lines at water attractions in September. The lack of a queue might be tempting, but there’s a reason no one’s waiting for the water rides in Paris during September. Watching your colleague get drenched by a huge splash is priceless… until it happens to you too. 💦 #Offsite #Teambuilding

Can we match 102 Google qubits with only 13 cats? Let’s find out in this third and final post about Google Quantum AI's remarkable achievement. As always, what follows is a wild simplification of what’s really happening inside our chips. 🧠 For the curious minds, the deep dive is just a click away (links in the comments). But without further ado, let’s start. 🗺️The first thing to know is that common qubits need to tackle two types of errors, bit-flips and phase-flips, using two-dimensional error correction codes. Among the most common ones, the aptly named "surface code" is used in Google’s latest work featuring a grid of qubits, as shown in the diagram on the left. Cat qubits, as you’ll know by now, are inherently protected from bit-flip errors. This means we can use a "simpler," one-dimensional error correction code to deal with the remaining phase-flip error, achieving what everyone wants: ✅ an error-corrected qubit. This is the key intuition behind cat qubits' hardware efficiency: 💡while standard qubits need to scale in two dimensions to lower error rates, cat qubits only need to scale in one. In plain terms, everything else being equal, you’d need far fewer cat qubits to match the error rates of standard qubits. But just how many fewer? Google set the bar high, creating a logical qubit using 102 transmons. 🎯But with Helium 1, our largest chip currently in testing, we’re aiming to run an equivalent experiment with just 13 cat qubits, almost a tenth of the amount. Now, let’s dream a little. To truly revolutionize computing, 🌌we’ll need thousands of logical qubits with ultra-low error rates. Here’s the kicker: both we and Google have crunched the numbers, and to run Shor’s algorithm efficiently, you would need 20 million standard qubits, but only 100 thousands cats,🏅200 times fewer. 🏃♂️The marathon is on! Look for updates on Helium 1 in 2025. Until then, 🔍 stay curious! Check the comments for links that dive deeper into what we’ve discussed. 👇 #QuantumComputing #CatQubits #GoogleQuantumAI

We often say that cat qubits can't be compared 💎, but for once, let's give it a try. Cat qubits are unique, but we can gain a better understanding by comparing them to more common superconducting qubits, like those used by Google in their latest experiment. 👉 https://lnkd.in/edNjt5m2 Both systems share similar constraints and advantages, but differently from any other superconducting qubit, cats are protected from bit-flip errors. This is achieved by increasing the number of photons in the cat's memory, which exponentially reduces bit-flip errors while phase-flip errors increase only linearly. 🤓 One of the most impressive results in Google's latest paper, is to use a chain of 75 transmon qubits 🧩 to run a repetition error correcting code. Like the photons in cat qubits, this code exponentially suppresses one type of error while linearly increasing the other, reaching a plateau where errors no longer decrease📉. The analogy has it's limits but its worth noting that the lifetime at which bit-flips saturate in both systems is similar: ⏰ 60 minutes for Google's 57-qubit code and ⏱️7 minutes for a single 12-photon cat qubit. And this is the key intuition behind the strength of cat qubits... 💡A single cat can implement a similar quantum object as dozens of standard qubits, before error correction is even run. Stay tuned for our next post, where we will explain how Google's experiment is one step ahead of what we can achieve with a single cat, and what we plan to do to create Alice & Bob's version of a logical qubit. 🔖 #QuantumComputing #CatQubits #GoogleQuantumAI

Quantum computing is not just about speeding things up – it’s about completely changing the game. 🎲 Our CEO, Théau, recently joined John Koetsier’s TechFirst podcast, to discuss the unique challenges and potential breakthroughs in quantum computing. 🪛 In this episode, Théau touches on the concept of a universal quantum computer, emphasizing how crucial it is to improve error correction (did you know that to build an error-free quantum computer, 99.9% of qubits would be needed to correct errors, not to compute?). ⚛️ He also explores the revolutionary impact quantum computing could have on industry, science, technology, and the world. As he puts it: “There is a Los Alamos feeling at times, we are a bunch of physicists asked to push the limits of science in a very short time”. ✨ Théau hints at our upcoming Helium generation chip 👀, which he believes will be a “Sputnik moment” in the quantum race, marking a significant milestone for Alice & Bob. ▶️ Don’t miss this conversation—listen now: bit.ly/4dP1Zk6 📢 And here’s a fun debate: do you prefer "qbits" or "qubits"? Let us know in the comments below! #CatQubits #QuantumComputing #TechFirst

What a day for the quantum industry. 🌟 Google Quantum AI has just proven, beyond any reasonable doubt, that Fault-Tolerant Quantum Computing is possible. For the first time ever, a logical qubit meets all criteria, demonstrating that Quantum Error Correction is effective. 🚀 There are three key standards for a logical qubit to serve as a viable component in a useful quantum computer: ✅ Below Threshold: Integrating more physical qubits within a logical qubit significantly reduces errors. The more, the merrier! ✅ Breakeven: The performance of the logical qubit surpasses that of the best physical qubit involved. ✅ Repeatable and in real time: error correction cycles are executed in sequence on the same chip using the same qubits while errors are tracked as they occur. All benchmarks have been impressively achieved, marking a global first. 🌍 This advancement highlights the rapid pace of quantum computing; just two years ago, Google's researchers had a system that was barely at the threshold and had not yet achieved breakeven. It also underscores the leadership of superconducting circuits in Quantum Error Correction. 🏆 To the folks at Google Quantum AI: Keep up with the fantastic work! Truly inspiring for us all! Just don’t rest on your laurels, cats can sprint fast! 😏 Read the paper (which is beautifully written, as always!): https://lnkd.in/eGBk-3XC #LogicalQubit #QuantumComputing #FaultTolerantQC #FTQC #GoogleQuantumAI

Quantum computing is the future, but without the top-notch traditional computing we use every day, we won't even get to the starting line… 😏 That’s where you come in. 👀 🧙♂️ Are you a master of systems and automation, with some network skills? 🎶 Is your idea of fun untangling systems and making them sing in harmony? If you're skilled in automating deployments, managing IT systems, and ensuring seamless operations, we want you on our team. Discover more about the role, the expertise we need, and the unique benefits of joining our IT team at Alice & Bob! 👉 bit.ly/3T0CC6W #hiring #deeptech

It's time to look at things from a new angle. 🔍 Quantum computing's promise is one of unmatched compute power. With a fault tolerant quantum computer one may run operations that would otherwise take millennia. But as we edge closer to this frontier, a crucial question arises: can we achieve so without a massive energy footprint? ⚡️ We’re teaming up with Quandela, EDF, and CNRS on a unprecedented project to find out. 🤝 Yes, quantum computers could crunch certain problems with exponentially fewer steps than classical computers, but this doesn't always mean they're low on energy demand. We need to be intentional about designing quantum tech that’s energy-efficient right from the start. In this ambitious project, OECQ (Optimisation Energetique des Circuits Quantiques), we will begin by estimating the energy consumption of our quantum computers on industry use cases. Then, we’ll roll up our sleeves to develop new, energy-efficient quantum hardware. Our goal? Showcase a reduction in the energy footprint of our quantum chips by the project’s end. Building the first fault-tolerant quantum computer is one of this century's greatest technological challenges. Doing so responsibly is essential. 🌍 For more info, tap here ➡️ https://lnkd.in/eyXjcqW6 #QuantumComputing #EnergyEfficiency #TechInnovation