Riverlane has launched Deltakit, a software platform designed for learning and adopting Quantum Error Correction (QEC). Deltakit is an open-source platform that is the software complement to Riverlane’s Deltaflow QEC hardware technology. The platform is designed to provide practitioners at quantum computing companies, national laboratories, and high-performance computing (HPC) facilities with resources to build QEC expertise and run real-time decoding experiments.
Deltakit is composed of two core components: a Software Development Kit (SDK), which is a Python library, and the Deltakit Textbook. The SDK allows users to generate QEC circuits, add noise models, simulate QEC execution, decode stabilizer measurement results, and analyze the outcomes. According to Riverlane’s 2025 QEC Survey, 95% of quantum professionals believe QEC is essential, but 82% cite a lack of training, guidelines, and access to resources as the main barriers to adoption. Deltakit is intended to address these challenges.
The platform supports the entire developer journey, from learners taking their first steps in QEC to practitioners preparing experiments on hardware. The SDK connects to Riverlane’s cloud service, which provides access to proprietary decoders and supports additional error-correcting codes. Liz Durst, VP of QEC Community at Riverlane and a former lead developer for Qiskit at IBM Quantum, is noted for leading the development of Deltakit. Steve Brierley, CEO of Riverlane, commented that the platform aims to address the shortage of skills and software tools for QEC implementation, which is necessary to achieve utility-scale quantum systems.
Read the full announcement here.
September 17, 2025
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