EDENCODE · NEWS RELEASE
APRIL 14, 2026 · OPEN SOURCE
An adaptive-depth graph transformer decoder, released under Apache 2.0.
SAN JOSE, CALIFORNIA — April 14, 2026
EdenCode Inc. today released the Graph Transformer Decoder, an open-source decoder for quantum error correction, on World Quantum Day.
The repository, published under the Apache 2.0 license, provides adaptive-depth graph neural network and graph transformer decoders that perform local message passing on the Tanner graph — the mathematical representation of a stabilizer code — rather than treating syndrome data as an unstructured input.
The release is intended to make EdenCode’s graph-structured decoding approach available for inspection and reproduction by researchers and engineers, alongside the company’s published results on AI-native decoding.
The source code is available at github.com/EdenCodeInc.
EdenCode Inc. is a San Jose, California-based company building the intelligence layer for useful quantum computing. EdenCode develops AI-native decoders and control systems designed to meet the real-time latency and accuracy requirements of fault-tolerant quantum computing across multiple hardware platforms. For more information, contact hwanda@edencode.ai.
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