Riverlane is developing the Deltaflow Quantum Error Correction Stack, which provides real-time error decoding and logical orchestration to reduce logical error rates in quantum computing. This technology addresses the high error rates in current quantum systems, enabling them to perform reliable operations at scale and unlock practical applications beyond classical supercomputers.
Funding
$120.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PFFounders
Product
Problem
Current quantum computers are prone to errors, with error rates that are too high to perform reliable operations at scale. These high error rates prevent quantum computers from solving complex problems that are intractable for classical supercomputers. Reducing these error rates is a critical challenge for unlocking the potential of quantum computing.
Solution
Riverlane is developing Deltaflow, a Quantum Error Correction (QEC) stack designed to reduce logical error rates in quantum computers. Deltaflow provides real-time error decoding, logical orchestration, and a universal control interface, enabling quantum computers to perform reliable operations at scale. The QEC stack aims to reduce error rates by millions of times, allowing quantum computers to surpass the supercomputing threshold and execute error-corrected quantum applications. Riverlane's roadmap targets achieving a MegaQuOp (a million real-time quantum operations), a critical milestone for useful quantum computing.
Target Audience
Riverlane's primary customers are quantum computing hardware developers, research institutions, and enterprises seeking to build and utilize fault-tolerant quantum computers for advanced computation.
Features
- Real-time error decoding to identify and correct errors at speed.
- Logical orchestration for performing reliable quantum operations at scale.
- Universal control interface for seamless integration with various quantum computing platforms.
- Hardware decoders designed for speed and adaptability.
- Algorithms for fast and resource-efficient quantum error correction.