Riverlane has appointed Professor Barbara Terhal as a Riverlane Fellow and established a new quantum error correction (QEC) research and development hub in Delft, Netherlands. Located at the House of Quantum, this expansion demonstrates Riverlane's commitment to Europe's quantum ecosystem and will focus on applying artificial intelligence (AI) and machine learning to advance QEC. Professor Terhal will lead Riverlane's roadmap alongside Professors Earl Campbell and Dan Browne, leveraging his expertise in quantum code and fault-tolerant architectures to power technologies such as the Deltaflow and Deltakit platforms, ultimately driving progress toward utility-scale quantum computing.
Riverlane’s expansion into Europe with Delft hub
Riverlane is expanding its presence in Europe with the establishment of a new hub in Delft, Netherlands, led by Riverlane Fellow Professor Barbara Terhal. The move marks the company's deepening commitment to the European quantum ecosystem and builds on existing partnerships with Dutch companies such as Qblox and Quantware. Located in the House of Quantum, the hub will focus on applying artificial intelligence (AI) and machine learning to advance quantum error correction (QEC), a critical step toward practical-scale quantum computing.
The Delft hub will focus on powering Riverlane's real-time QEC technology, Deltaflow, and open source software platform, Deltakit. Research will focus on developing AI-based decoders and tools to improve QEC performance. Professor Terhal's expertise in the fundamental theory of QEC will help guide this research and ensure it is based on world-class science. This expansion aims to position Europe at the forefront of the global quantum computing industry.
Riverlane's efforts to master QEC are supported by more than $120 million in private funding, including an $85 million Series C round in 2024. The company partners with more than 60% of the world's quantum computing companies and HPC centers to tackle error problems that hinder the development of utility-scale systems. Deltaflow is designed to work with all major qubit types and includes its own chip, decoder, and compiler.
Advances in quantum error correction with AI tools
Riverlane is expanding its research and development in quantum error correction (QEC) with a new location in Delft, Netherlands, led by Professor Barbara Terhal. The move marks a deepening of Europe's commitment to the quantum ecosystem and will focus on applying artificial intelligence (AI) and machine learning to drive QEC. The Delft hub at the House of Quantum will specifically develop AI-based decoders and tools to power Riverlane's real-time QEC technology, Deltaflow, and open source software platform, Deltakit.
Applications of AI are at the heart of Riverlane's efforts to make quantum error correction faster, smarter, and more efficient. By leveraging AI across its QEC technology, the company aims to push the boundaries of performance within Deltaflow and extend the capabilities of Deltakit. Professor Terhal's expertise in the fundamental theory of QEC will ensure this research is based on strong scientific principles and will help Riverlane move QEC from theory to practical technology.
Riverlane's Deltaflow works with all major qubit types and has its own QEC chip, decoder, and compiler. The company partners with more than 60% of the world's quantum computing companies and major high-performance computing centers to solve the error problems that hinder the development of “utility-scale” quantum systems. Founded in 2016, River Lane has raised more than $120 million in funding, including $85 million in a Series C round in 2024.
Professor Terhar’s appointment marks a significant expansion for the company in Delft and signals the deepening of Riverlane’s commitment to Europe’s quantum ecosystem.
steve brierley
Key technologies: Deltaflow and Deltakit
Riverlane is advancing quantum error correction (QEC) through technologies such as Deltaflow and Deltakit. Deltaflow is a real-time QEC stack designed to work with all major qubit types and includes a proprietary QEC chip, decoder, and compiler. Deltakit serves as an open-source software platform aimed at facilitating the learning, development, and adoption of QEC by quantum developers. These technologies are core to Riverlane's mission to master QEC and enable utility-scale quantum computing.
The new hub in Delft, Netherlands, will focus on applying artificial intelligence (AI) and machine learning to power Riverlane's QEC technology. Specifically, the team will develop AI-based decoders and tools to improve Deltaflow and extend the capabilities of Deltakit. This effort aims to push the boundaries of Deltaflow's performance and ultimately accelerate progress toward building practical utility-scale quantum computers.
Riverlane believes Delkit is key to broader industry adoption of QEC. The software platform is designed to help developers learn and implement QEC techniques. Combined with DeltaFlow's real-time capabilities, Riverlane intends to partner with more than 60% of the world's quantum computing companies and position itself as a leader in solving the error problems currently blocking the path to useful quantum systems.
