The Riverlane News
Industry leaders Qblox and Riverlane have announced the successful integration of their flagship technology, marking a major step toward the era of fault-tolerant quantum computing. The firms have created a production-ready platform capable of real-time error correction by combining Riverlane’s Deltaflow quantum error correction (QEC) system with Qblox’s high-performance control electronics. This achievement has long been regarded as the “cornerstone” of practical quantum utility.
The statement, which was made shortly before the APS Global Physics Summit 2026 in Denver, tackles the most enduring problem in the quantum field qubits intrinsic fragility. Although quantum computers have the potential to revolutionize a variety of fields, including materials science and medicine development, their physical components are infamously susceptible to outside noise.
Eliminating the Latency Bottleneck
The decoding and error response “speed bottleneck” has plagued the quantum sector for years. A quantum computer needs to detect and fix mistakes more quickly than they can build up to function properly. This process is called real-time error correction.
Riverlane’s incredibly quick decoders, which are designed to fix millions of mistakes every second, are used in the new integrated solution. The Qblox control architecture now incorporates these decoders directly, allowing for sub-microsecond feedback loops between the detection and correction of errors. This degree of integration is crucial because it guarantees that the “feedback” occurs at a speed that matches the quick quantum operations taking place inside the system.
The CEO of Qblox, Niels Bultink, emphasized the accomplishment’s historical significance. “We have advanced beyond theory and eliminated a crucial latency barrier to scalable error correction by directly integrating Deltaflow 2 into the Qblox control stack,” Bultink said. The “defining challenge of our era” is real-time QEC, according to him.
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Scaling to Utility: 250 Physical Qubits
The combined deployment’s technological requirements are directly targeted at the demands of the worldwide quantum market. One stable, logical qubit can be produced using up to 250 physical qubits, which are supported by the existing solution. Up to 10,000 Quantum Operations (QuOps) can be carried out by this architecture.
This design’s unique offloading approach is one of its main innovations. The main system resources of the quantum computer are released by shifting the demanding computational load of decoding to a specialized high-performance layer. Because of this, researchers can concentrate on raising qubit counts and complexity without worrying about compromising computational fidelity as the system grows.
This partnership is evidence that the industry is moving beyond theoretical error correction, according to Steve Brierley, CEO and founder of Riverlane. “Real-time QEC may now operate directly alongside quantum hardware, enabling more dependable quantum processes at scale, as demonstrated by the integration of Deltaflow 2 with control systems like Qblox, Brierley continued.
A Foundation for the Future
Hardware integration is just one aspect of the partnership. Riverlane’s Deltakit, an open-source software development kit (SDK) for creating and evaluating different quantum error correction algorithms, supports the entire stack. On top of the Qblox hardware, Deltakit offers the resources required for the larger quantum community to understand and implement QEC protocols.
This open-architecture strategy is essential to the goals of Qblox. Qblox provides the crucial “backbone” for a new era of computing by offering scalable quantum control engines. The QRM (Qubit Readout Module), QCM (Qubit Control Module), and Cluster quantum control stack are among their modular hardware offerings. These tools enable researchers to create solid, scalable, and efficient systems.
Established partnerships with industry giants like Oxford Quantum Circuits (OQC) have proven the real-world practicality of this integration. The incorporation of Deltaflow technology into their commercial quantum data centers was a significant milestone, according to Dr. Peter Leek, CSO and creator of OQC. “We are demonstrating how tightly integrated control and error-correction technologies can accelerate the path toward dependable, commercially viable quantum computers through our collaborations with partners like Riverlane and Qblox,” Leek stated.
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Presence at the APS Global Physics Summit
Quantum community can experience these advancements during the APS Global Physics Summit 2026 in Denver. Join Qblox and Riverlane for a panel discussion on “Building Quantum Together Quantum Error Correction”.
Experts such as Francesco Battistel, Roadmap Leader at Qblox, Laura Caune, Senior Atomic Scientist at Riverlane, and Linsey Rodenbach, Developer Relations Manager for Quantum Computing at NVIDIA, will participate in Furthermore, Qblox will demonstrate real-time GPU-to-quantum integration and discuss hybrid quantum-classical infrastructure with attendees.
About the Partners
Leading the way in scalable quantum control, Qblox offers the control engines that engineers and researchers need to develop the next generation of computing. Leaders in academia and industry trust the company because of its open-architecture electronics, which pioneered quantum control.
In terms of quantum error correction, Riverlane leads the globe. Over 60% of the world’s quantum computing firms are partners of Riverlane, which has its headquarters in Cambridge, UK, and offices in Boston and Delft. To address the “error problem” impeding the development of utility-scale systems, their real-time QEC stack, Deltaflow, consists of proprietary devices, decoders, and compilers. The company has raised more than $120 million in private finance since its creation in 2016, including a large $85 million Series C in 2024.
The combined solution offered by Qblox and Riverlane provides a production-ready foundation as the quantum industry advances toward feasible, large-scale systems. Faster innovation and a clearer route toward fault-tolerant computing are made possible by this collaboration, which eliminates the difficulty of obtaining and integrating various components separately.
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