Riverlane

To make quantum computers truly useful, we must correct errors faster than they accumulate. Our collaboration with Qblox has tackled a major industry speed bottleneck, achieving sub‑microsecond feedback between error detection and correction — highlighted at last month’s #APSMarch2026. 🤔 Qblox also asked the #APS March attendees: which computational resources can meet QEC demand? FPGAs topped the poll (then ASICs, then GPUs) — a view echoed by our staff quantum scientist, Laura Caune, in Qblox's full report: “We believe FPGA-based decoding is essential to achieving the throughput and latency required for real-time decoding at scale. True real-time decoding must be scalable, high-throughput, low-latency, and accurate, which is a very challenging combination. And we believe we need an FPGA for that. That is why we see FPGAs as a critical part of the solution.” More details below 👇 #QuantumComputing #QuantumErrorCorrection #DeepTech #Innovation

👉 Last chance to sign up — don’t miss Riverlane’s QEC Technology Roadmap webinar! Join Neil Gillespie, VP of Applied Research, for a deep dive into the technical milestones we believe will accelerate utility‑scale quantum computing by 3–5 years. The presentation will be followed by a live Q&A and a two-part panel discussion: "The Quantum Computing Stack: On the Path to Utility Scale" with Krysta Svore (NVIDIA), Masoud Mohseni (Hewlett Packard Enterprise), Tobias Thiele (Zurich Instruments), Frank Deppe (IQM Quantum Computers) and Ben Yuen (Infleqtion). 📅 When: Thursday 23 April 2026, 16:00–17:15 UK time Register for free here: https://lnkd.in/esQpKbnz #QuantumComputing | #QuantumErrorCorrection | #Innovation

Quantum error correction just got a reality check 🧬💻 Qubits are prone to all sorts of errors. Sometimes they simply "leak" out of the calculation or disappear entirely (atom loss). These are called noncomputational errors, and they are notorious for causing cascades of errors. Until now, simulating these complex errors at scale was a massive bottleneck.  That’s why we’re releasing Deltakit-Stim. 🚀 It’s an extension of the popular Stim tool that allows researchers to:  ✅ Simulate leakage without sacrificing speed.   ✅ Model how noncomputational errors "travel" between qubits.   ✅ Build smarter, adaptive decoders for real-world hardware. If you’re working on QEC benchmarking or decoder design, this can help make your simulations and decoders match the complexities of device noise. Read the full breakdown from our senior software engineer Mark Turner, and try it for free here: https://lnkd.in/eeEaMsY2 #QuantumComputing #QEC #QuantumErrorCorrection #Innovation 

On World Quantum Day, let’s explain why the decoder is the beating heart of Quantum Error Correction (QEC). 💓 To move from today’s noisy devices to utility-scale quantum computing, we must solve one of the biggest bottlenecks in the field: the decoding problem. Quantum computers generate a continuous stream of error data. A decoder’s job is to identify these errors and fix them in real-time (often in less than a microsecond) before the system loses its logical state.  It’s a complex landscape, and there’s a new frontier opening up: pre-decoding. Pre-decoding is an exciting development in the QEC space. By using AI to “clean” and simplify syndrome data before it reaches the main decoder, we can potentially reduce the workload on the entire system and improve accuracy.  However, pre-decoding comes with a challenge: it must be incredibly fast and must not introduce new errors.  As an early evaluator of NVIDIA's Ising Decoding, their new AI-based pre-decoder, Riverlane's Joan Camps is speaking at NVIDIA Quantum Day today on exactly this topic. 👉 Register here for the talk: https://lnkd.in/eVkKyVAh  📅 Tuesday 14th April, 9:45 – 10:30am PT  Can’t make the talk? Joan has written a blog post exploring why real-time decoding matters, Riverlane’s approach to adaptive decoding, and NVIDIA’s latest "Ising" model announced today. 🔗 Read the full blog post here: https://lnkd.in/eTfyGMyX #QuantumComputing #QuantumErrorCorrection #WorldQuantumDay

🎉 Happy World Quantum Day! Today, we celebrate the science driving the next computing revolution and reflect on an incredible year at Riverlane. Over the past 12 months, we’ve grown our team, opened a new AI/ML hub in Delft, and achieved major milestones across publications, partnerships, and our products to bring error-corrected quantum computing closer to reality. Swipe below to see some of our highlights 👇 To everyone who’s joined us, partnered with us, and supported our mission: thank you 🙏 If you want to help build the technologies that make utility-scale quantum computing possible, we’re hiring: www.riverlane.com/jobs  #WorldQuantumDay #QuantumComputing #Hiring #Riverlane 

⏰ Only a few more hours left to apply for our Bertha Swirles QEC Workshop! ⏰ 👀 👇

📢 New performance results from Riverlane Quantum computers will only become truly useful when they can run trillions of reliable operations, for drug discovery, materials science, cryptography, and beyond. The thing standing in the way? Speed of error correction. Today we're sharing results that show how close we're getting. Running Google's Willow experiment data through our QEC system — one million rounds of continuous, real-world quantum error correction — we achieved: ⚡ 16.32 microseconds mean latency, beating our 20-microsecond target ⚡ Up to 10× faster processing speed than Google's published results ⚡ Stable performance across every single round The 10-microsecond threshold is what unlocks utility scale. Read the full technical breakdown >> https://lnkd.in/d6749ECA

Exciting news for the quantum community! ✨ We’re proud to present our QEC Technology Roadmap Webinar and panel session on Thursday, April 23, 2026, at 4:00 PM BST. We've been working hard to lay out a clear path to fault-tolerant quantum computing, and in this webinar, our VP of Applied Research Neil Gillespie will provide a deeper look at our recently published QEC Technology Roadmap. You can learn about the three core challenges we're tackling for utility-scale quantum computing: robust quantum memory, the critical logic leap, and unlocking universal capabilities, all measured using the unique QuOp metric. But the insights don't stop there! We're bringing together a phenomenal panel of industry leaders for a discussion on 'The quantum computing stack: on the path to utility-scale.' Get ready for diverse perspectives from: 🔹 Krysta Svore ( VP, NVIDIA)  🔹 Ben Yuen (Portfolio Technical Lead, Infleqtion)  🔹 Tobias Thiele (Head of Product Management, Zurich Instruments)  🔹 Masoud Mohseni (Director of HPE Quantum at Hewlett Packard Enterprise) 🔹 Frank Deppe (Principal Quantum Architect, IQM) The panel will dive into how we define and measure progress toward utility scale, address the key challenges, the vital role of Quantum Error Correction, and more. If you're involved in quantum hardware, qubit control, HPC, or academic research, this is your chance to engage with the leaders shaping quantum's future. ➡️ Register now to reserve your free virtual seat: www.riverlane.com/roadmap

😔 Missed APS March Meeting? We've got you covered. We've brought our live APS booth demo showcasing real-time Quantum Error Correction (QEC) right to you! 😊 Watch our team put Deltaflow 2 (our real-time QEC system) and Deltakit (our open-source SDK) into action, exactly as we ran it at the conference. Our team also captured the key moments from the week. Real-time QEC took centre stage, and the shift toward practical, real-world implementations was impossible to ignore. In the blog you'll find:   🔹The industry's first end-to-end real-time QEC demo — watch it in full   🔹Why latency is now the defining bottleneck for fault-tolerant quantum   🔹How partners like Qblox, Quantum Machines, and Zurich Instruments are integrating QEC today 🔗 Demo + full roundup can be found here: https://lnkd.in/dMZPQyXC #QuantumComputing #QEC #QuantumErrorCorrection #APSMarch #Riverlane #QuantumTechnology 

Riverlane is growing - fast! Since the start of the year, we’ve welcomed 16 talented new starters across our locations, joining us to accelerate the path to utility‑scale quantum computing 👋 Our new hires include software, compiler and digital‑design engineers, quantum integration engineers, and quantum scientists, and many more. But what made all these brilliant people want to join Riverlane? That’s exactly why we asked them: ‘Why Riverlane?’  Check out what they said below 👇 🔗 Want to be part of it? Explore current roles and apply: www.riverlane.com/jobs  #QuantumComputing | #Hiring | #QuantumErrorCorrection | #Quantum