Riverlane

Did you know that quantum computers rely heavily on classical computing power? A recent talk by our CEO Steve Brierley at The Royal Society illuminated this fascinating relationship. Key takeaways: 🦾 Massive Data Processing: The sheer volume of data generated by quantum computers – comparable to Netflix's global streaming – necessitates robust classical systems for managing and interpreting this information. ⏱️ Real-time Error Correction: Maintaining accuracy in quantum computing demands real-time error correction. This requires high-speed, high-throughput classical computation to keep up with the rapid pace of quantum operations. 👩💻 Specialised Hardware and Software: The classical systems involved are not generic; they involve specialised hardware and sophisticated software. 🔮 The MegaQuOp Vision: Once quantum computers can perform millions of error-free operations (aka achieve the MegaQuOp), we will have the first quantum computer that nobody can simulate – and as we continue to scale to the GigaQuOp and TeraQuOp, then the application space will grow enormously. 👉 Find out more: https://lnkd.in/eMX58zZq #quantumerrorcorrection | #quantumcomputing 

🚀 2025: The International Year of Quantum Science and Technology is here. As quantum computing moves from theory to reality, there has never been a better time to get involved, even if you do not have a background in quantum. At Riverlane, we are building the Quantum Error Correction Stack to make quantum computing useful sooner. But to achieve this, we need talented people from all backgrounds, including engineers, mathematicians and problem-solvers, who may not have considered a career in quantum before. In our latest blog post, Emily W. (Global Talent Acquisition Lead at Riverlane) addresses some common misconceptions about working in quantum, shares some of her top tips, and explains why now is the perfect time to join this growing industry. 👉 Thinking about a career in quantum? Read more here: https://lnkd.in/eqKUePGg #QuantumComputing #IYQ2025 #TechCareers  

🚀 Breaking new ground in quantum computing! 🚀 We are pleased to announce the launch of SurgeonQ, a strategic collaboration between IQM Quantum Computers, Riverlane, and Zurich Instruments to develop the world’s first quantum error correction platform. Quantum computers have the potential to solve some of society’s toughest challenges, from revolutionizing drug discovery to optimizing supply chains and designing new materials for clean energy. To achieve this, they must scale from performing hundreds of reliable operations to trillions, which requires advanced quantum error correction. 💡 What makes SurgeonQ different? ✅ It will execute multiple real-time quantum error correction operations  ✅ It leverages lattice surgery, an established method for scalable logical qubits  ✅ It integrates expertise across quantum hardware, control systems, and error correction “Launching SurgeonQ is an exciting step toward overcoming one of quantum computing’s toughest barriers: advancing quantum error correction from experimental prototyping to practical, deployable platforms.” – Marco Ghibaudi, VP of Engineering, Riverlane. With this collaboration, we are paving the way toward commercial-grade fault-tolerant quantum systems, bringing us closer to unlocking quantum computing’s full potential. 🔗 Read the full press release here: https://lnkd.in/dY4tQNc4 #QuantumComputing #QuantumErrorCorrection

🌟 Celebrating Riverlane’s ingenious inventors! 🌟 At Riverlane, we’re very proud of our team’s incredible achievements. In 2024, we celebrated a remarkable year with patent applications for 24 new inventions! In total, we’ve filed patent applications for more than 50 different inventions since Riverlane started. For each awarded patent, team members receive a jigsaw-piece-shaped trophy — a special shoutout to Marco Ghibaudi, who has collected enough trophies to start assembling his own patent puzzle! Our latest applications focus on our groundbreaking Local Clustering Decoder, designed to optimise accuracy and speed for real-time decoding, enabling a million error-free operations (a.k.a. the MegaQuOp). Additionally, our Ambiguity Clustering decoder and leakage-aware decoding inventions are currently patent pending. Our patent applications are filed in multiple regions, including Australia, Europe, Japan, the UK, the USA, and WIPO (World Intellectual Property Organization).  Discover more about Riverlane’s cutting-edge research here: https://lnkd.in/egv4vUpE #QuantumErrorCorrection | #LifeAtRiverlane | #Research 

The future of quantum computing depends on error correction, but there is still much to learn and more knowledge to share.      That's why we are thrilled to welcome Liz Durst to Riverlane as our Vice President of QEC Community! 🎉       Liz is a highly regarded leader in the quantum computing industry, best known for building IBM Quantum’s Qiskit, the open-source software development kit that now dominates the quantum computing developer tools market. With over 600,000 users and adoption in 700+ universities, Qiskit has played a pivotal role in shaping the quantum workforce.       Now, as quantum computing enters the quantum error correction (QEC) era, Liz will lead the development of a QEC software development kit along with learning resources to prepare the global quantum community for working with logical qubits and error-corrected systems.        Quantum computing is evolving rapidly, and we believe there’s now a growing need to empower the next generation of learners and innovators.    💬 Liz shares: "I am passionate about empowering people worldwide to use and advance quantum computing. Having seen firsthand how thriving open-source ecosystems can drive progress, I look forward to working with Riverlane to accelerate the path to useful fault-tolerant quantum computers."       📢 Read more here: https://lnkd.in/eW5JQsDs     #quantumcomputing #quantumerrorcorrection #qeccommunity

🤔 There's been quite a buzz around the potential of MegaQuOp machines lately, but what could the earliest generations of error-corrected devices be used for in practice?   🇩🇰 In a recent collaboration with University of Copenhagen (Københavns Universitet), led by Andreas Juul Bay-Smidt, we've introduced a method that could harness quantum simulations to tackle complex model systems in materials science and chemistry.   Why is this significant? These models present challenges for classical methods – but offer a relatively low "cost" for quantum computations, setting the stage for early fault-tolerant applications of MegaQuOp-scale machines in the future.   The paper builds on an existing method designed for the Hubbard model—a deceptively simple yet powerful model of interacting electrons. While this model has benefits, for many use cases in materials science and chemistry we need a more detailed and flexible model. 👏 Our paper introduces a quantum simulation method which allows such models to be simulated efficiently. With further development, it also holds promise as a potential application of MegaQuOp machines in the future.   👉 Curious to dive deeper? Check out our paper on arXiv: https://lnkd.in/epT6GKff #QuantumErrorCorrection | #MegaQuOp | #QECQuestion

What a great way to start the year! Thank you for the recognition GirlCode ❤️ And congratulations to the other worthy winners! I'm proud to work for a company that is as focused and committed as ever to continue driving positive change to improve DEIB, both at Riverlane and in the wider tech and quantum communities. Together, we're better.

🎉 Riverlane's landmark quantum error correction (QEC) paper has been published in Nature Electronics 🎉  This publication recognizes the breakthrough made by our quantum decoder—the world's first dedicated 'QEC chip' implemented on ASIC and FPGA hardware.  By uniquely balancing speed, accuracy, and resource efficiency, it set a new standard for quantum error correction when it was first published on arXiv in September 2023. 📖 Key highlights:   • At its release, our novel Collision Clustering (CC) decoder was the most powerful in the world, and this paper was among the first to demonstrate that QEC could provide a viable route to fault-tolerant quantum computing.   • Since then, the industry has rapidly embraced QEC, with companies like Google, Quantinuum, and QuEra also making significant QEC advancements.  • The next big milestone? Using real-time QEC to achieve a 'MegaQuOp' (one million error-free quantum operations). This is where quantum computing's first practical use cases beyond the supercomputing threshold will begin to emerge. 🚀 Riverlane is leading the charge. Our Quantum Error Correction Stack (Deltaflow ™), the first comprehensive QEC solution for all quantum computers, will help our hardware partners transform their full-stack quantum computers into 'MegaQuop Machines'.  With our second-generation QEC Stack (Deltaflow 2) launching this March, we're steadily advancing toward this critical goal.  Today's publication in Nature Electronics is a proud moment. With QEC implementation now a top priority for every quantum computer and control system maker, we look forward to driving the continued progress of our QEC roadmap through 2025 and beyond.   🙌 A special congratulations and thanks to the authors of the paper: Ben Barber, Kenton Barnes, Tomasz Bialas, Okan Buğdaycı, Earl Campbell, Neil Gillespie, Kauser Johar, Ram S., Adam Richardson, Luka Skoric, Canberk Topal, Mark Turner,and Abbas Bracken Ziad. 🔗  Find out more in Nature Electronics here: https://lnkd.in/eGcCGKQK #quantumcomputing #quantumerrorcorrection #MegaQuOp

#QECQuestion: What’s next for QEC in 2025?  The race toward unlocking useful quantum computing is accelerating—and quantum error correction (QEC) is the key to crossing the finish line.  You can find out more about what QEC experts Jérémie Guillaud and Nicolas Delfosse predict for the year ahead in our VP Quantum Science Earl Campbell's recent post: https://lnkd.in/exVfrRjw Jérémie and Nicolas were two of the 12 experts interviewed for The QEC Report 2024, which explored the current state of QEC, highlighting its challenges, opportunities, and milestones. Here’s what we learned:   1️⃣ Quantum error correction is a multi-faceted problem   To achieve QEC, we need physical qubit error rates below the threshold and a low physical-to-logical qubit ratio. At 99.9% fidelity, we can introduce classical QEC technologies, though this poses a complex, real-time data processing challenge. 2️⃣ The QEC era is here   The quantum computing community is united in advancing quantum error correction, from research to funding strategies. The progress of quantum hardware companies has been remarkable—what seemed impossible five years ago is now a reality. Google's latest papers confirm that QEC has moved from research to practical application. 3️⃣ The MegaQuOp matters   Reaching the million error-free quantum operations (MegaQuOp) milestone marks a pivotal moment in quantum computing, where quantum computers surpass classical supercomputers. It's the goal the entire quantum community is now pursuing. 🏃♀️ The MegaQuOp race is on—and the only way to win is with QEC.  Thank you for following our #QECQuestion series over the holiday season. We hope you found it insightful!  Have a #QECQuestion about QEC or Riverlane? Or do you fancy contributing to The QEC Report 2025? Then leave a comment below - and don't forget to use the #QECQuestion hashtag. If you'd like to see a QEC Q&A in action, you can also watch the webinar featuring Jérémie, Nicolas and Earl here: https://lnkd.in/eDMutzbB

#QECQuestion: Is correcting quantum errors just about adding more, better qubits?  ❌ Not quite. Let's talk about classical QEC... While improved quality and quantity of qubits are critical, that's only part of the equation.  Quantum error correction (QEC) is a multi-faceted problem. On the qubit side, we need physical qubit error rates below the QEC threshold with a low ‘QEC overhead’, that is the ratio between the number of physical and logical qubits.  Once we reach a qubit fidelity of 99.9%, we can introduce *a set of classical QEC technologies* to solve this complex, vast, real-time data processing problem.  As quantum computers scale, an additional layer of classical QEC solutions is required to tackle the increasing error numbers and types, addressing three broad challenges:   🔹 Developing complex QEC codes: QEC involves sophisticated inference algorithms (QEC codes) to determine the most likely error that might have occurred given a specific syndrome value.    🔹 Performing at fast speeds: each QEC round must be fast (<1μs) and deterministic (respond promptly at well-determined times) to avoid delays that lead to uncorrectable errors.    🔹 Dealing with massive data volumes: these algorithms require an extremely high instruction bandwidth, scaling to 100TB/s – equivalent to a single quantum computer processing and correcting the equivalent of Netflix’s total global streaming data every second.   So, while high-quality qubits are essential, they’re only part of the solution.  🤝 Scaling quantum computers to their full potential demands a seamless integration of quantum *and* classical technologies.  👉 Dive deeper into the classical side of QEC and the state of quantum computing in The QEC Report 2024: https://lnkd.in/eDMutzbB  Follow #QECQuestion for more insights over the next week.