Riverlane

😲 "Error-correcting a quantum computer can mean processing 100TB every second." John Timmer from Ars Technica dives into Riverlane's technology, our roadmap and how many start-ups are targeting the hard problems in quantum. 📣 For Riverlane, we're targeting quantum error correction, aka "the huge amount of classical computations that are going to be necessary to make the quantum hardware work," according to John. "Regardless of the physics involved in controlling the qubits, everybody borrowed the same hardware from a different field [...] That makes it relatively easy to integrate Riverlane's hardware with a variety of systems." 📣 Our CEO Steve Brierley also gave a personal insight into why he's so passionate about QEC as the key to unlocking useful quantum computing, explaining to John why he's optimistic about the Riverlane roadmap and broader future of quantum computing. "I think we'll see the first long-lived logical qubit in the next 12 months, and we'll quickly get to hundreds of logical qubits in two to three years," Steve told Ars. 👉 Find out more here: https://lnkd.in/ess9ZFwT

🚀 Introducing Riverlane’s Quantum Error Correction roadmap     We’ve set ourselves the goal of building the first prototype of a MegaQuOp-scale QEC Stack by the end of 2026. We are calling the final product Deltaflow Mega, with intermediate releases every year.     At a MegaQuOp (million error-free quantum operations), a quantum computer can run simulations that no supercomputer can.  Today's machines are capable of a few hundred QuOps. ⏩ Now: Deltaflow 1 - Fast decoding In 2023, Riverlane released the first generation of its Quantum Error Correction Stack, Deltaflow 1, demonstrating that decoding can be scaled to an arbitrarily long sequence of gates [1].  ⏰ 2024: Deltaflow 2 - Streaming, high-fidelity memory We will extend the memory functionalities in time. Deltaflow 2 will support a streaming high-fidelity memory, i.e., a single logical qubit as a memory experiment in real time. Essentially, DF2 allows us to keep the qubits alive “forever”, meaning for as long we want. 💡2025: Deltaflow 3 – Streaming logic Deltaflow 3 will support a broad set of operations belonging to the so-called Clifford gate set. It will support Clifford operations with a few (2-4) logical qubits, and up to 1,000 physical qubits. 📈2026: Deltaflow Mega – Logic at scale Deltaflow Mega will constitute a significant milestone for the quantum computing industry. It will take the quantum industry into the realm of the first operations that cannot be efficiently classically simulated, by supporting non-Clifford logic and fast feedback for the first time. 🚀 Beyond 2027: Pushing to the GigaQuOp, then TeraQuOp The MegaQuOp is a critical milestone, but it's just the first step on the journey to full fault tolerant quantum computing. Some projections estimate we’ll need a trillion error-free quantum operations (‘TeraQuOp’) and millions of physical qubits to unlock the higher value applications of quantum computing.    So, the fundamentals of Deltaflow are founded on scalable principles to take us there in the long run. As the ecosystem continues to pull together and quantum computers mature, so will Deltaflow. For the next few years, we’ll sprint with our eyes firmly fixed one prize: building a Quantum Error Correction Stack capable of delivering a million error-free quantum operations across every major qubit platform. We’re already working with quantum computing’s top hardware companies to achieve this. We hope you’ll join us on this exciting journey. 👉 Find out more from our VP quantum science Earl Campbell and VP product and partnerships Maria Maragkou here: https://lnkd.in/gvUaZJaX #quantumcomputing | #quantum | #quantumerrorcorrection | #QuOp | #MegaQuOp [1] https://lnkd.in/eHZSuwxx 

🌎 ⚡ Can quantum computing learn sustainability lessons from AI?     In a recent Q&A with Berenice Baker (IoT World Today), our VP of Engineering, Marco Ghibaudi discussed quantum computing’s potential to combat climate change by creating energy savings.    In the interview, Marco emphasises the importance of building sustainability and energy efficiency into the development of quantum computing from the outset, learning from the energy challenges faced by the AI industry.    He encourages players across the quantum computing field to prioritise power-efficient design and join initiatives like the Quantum Energy Initiative to collaboratively address these challenges.    �� Read the full Q&A to learn more about Marco’s thoughts on this topic and how it informs the engineering approach of our QEC Stack: https://lnkd.in/eibEacwN 

❓ How do you develop the Quantum Error Correction Stack to unlock the potential of every qubit ❓ 💡 Our VP quantum science, Earl Campbell, explains how Riverlane takes a three-track approach to building our QEC Stack, Deltaflow. 📣 Deltaflow is a modular solution. It works across different qubit types and can be adapted to meet the needs (and hardware maturity) of individual systems. 🔧 Earl explains how we have made some QEC architectural decisions and committed to three tracks of  Deltaflow development, aiming to maximise the reuse of components. 👩💻 He also reveals how we’re prioritising different QEC codes, including surface code versus qLDPC codes. 👉 Find out more: https://lnkd.in/eZ-NpjR4 #quantumcomputing | #quantumerrorcorrection | #quantumscience 

What is the key to scale Quantum Technologies?    Speaking at #IGFLondon, Maria Maragkou, VP of Product & Partnerships of Riverlane, said, “We need diverse stakeholders to come together.”    Watch the video where she explains the potential of quantum computing!    #JoinTheConversation to explore the exciting possibilities and challenges of harnessing quantum computing!   🎥 Watch Live: https://lnkd.in/gaZUxBsk   #JoinTheConversation #LimitlessFuture #Quantum #EmergingTech 

😰 🌤 Quantum errors got you all hot and flustered? ⛄ It’s time to crank up the AC....    🥁 Introducing Ambiguity Clustering (AC): a qLDPC decoder that’s 150x faster than the industry standard. 🏃♀️ This super-fast method from Ben Barber and Stasiu Wolanski of Riverlane has reduced quantum decoding times for one qLDPC code experiment from 1.5 hours to half a minute! 💡 qLDPC codes can make do with far fewer physical qubits than the current, leading quantum error correction code: the surface code. But we still need to be able to decode qLDPC codes in order to take advantage of this qubit reduction. 💥 That's where Ambiguity Clustering comes in. 👉 Find out more about qLDPC codes and this work: https://lnkd.in/gcmN523M 👉 Or read the full arXiv paper here: https://lnkd.in/gtc3dNFq 👉 You can access our proprietary Ambiguity Clustering method NOW, available in our latest version of our analytics tool QEC Explorer: https://lnkd.in/g5WtvwSg

This weeks Women in STEM podcast episode is now live! 💚🎧 https://lnkd.in/eQKHNmaD This time, I have a chat with Rebecca Simmons who is the COO of Riverlane! She is also going to be one of the guest speakers at our upcoming event 🙌 Rebecca has been with Riverlane for 5 years, joining as employee number 9 and has helped them scale to well over 100 people. We talk about how they've built an open, supportive and inclusive environment where currently, 30% of their staff are women. We talk about things Bek has learned throughout her journey, like not being afraid to get things wrong, holding boundaries and to stop apologising all the time. We also talk about the things Riverlane have done to attract more women into the business, and much more! #womeninSTEM #WomeninSTEMmeetup #podcasts

📣 News Alert! Riverlane is thrilled to announce our acceptance into the Quantum Energy Initiative (QEI), a community dedicated to researching the environmental footprint of quantum computing. 🌍🔋 Our core product, the Quantum Error Correction Stack (Deltaflow), prioritises energy efficiency as a key design principle. With our Deltaflow.Decode ASIC chip using less than 10mW, we have set a benchmark for high-performance with minimal hardware resource cost. We look forward to collaborating with other QEI members to define energy-based metrics for quantum technologies and building a better understanding of the impact of quantum hardware and software on energy consumption.   Together, we aim to shape an energy-efficient future for quantum computing. 🌱💡 Find out more from the Quantum Insider here: https://lnkd.in/ea7kfYfV #quantumcomputing #quantumerrorcorrection #quantumenergyinitiative 

📰 In a recent interview with Maddyness UK, our Founder & CEO Steve Brierley discussed Riverlane's journey, our exciting plans for the future and shared some advice for other founders. "Have a bold and ambitious vision that’s underpinned by a proven insight and data. In my case, it was that the presumption that a quantum computer was simply too hard to ever build could be disproven and overcome. Once you have this, be ready to learn fast and pivot fast in your tactics but never lose sight of your goal." 🔗 Read the full interview through the link below: https://lnkd.in/ejZtGFyN

💥 Question: What happens when quantum and super computers collide? 🤝 Answer: The two will coexist and complement one another, not compete as many assume. 📝 In a recent post with our partners Altair, we explore this topic and explain why quantum error correction also has an impact in the classical computing space: "It’s not enough to simply build quantum computers with more and better qubits. Unlocking the full spectrum of quantum computing applications requires new hardware and software tools to control inherently unstable qubits and correct system errors 10 billion times or more per second. Riverlane designs and engineers such tools, and they implement them with leading quantum computer makers using every type of qubit." "That’s one reason why Altair has invested in Riverlane. Riverlane’s Deltaflow Quantum Error Correction Stack works across multiple qubit types, and every quantum computer will need quantum error correction."