Rail Vision subsidiary integrates Google Quantum AI dataset

Rail Vision (RVSN) announced that its majority owned subsidiary Quantum Transportation, has delivered a working integration layer that brings a publicly accessible experimental surface-code dataset from Google (GOOGL) Quantum AI, into the Quantum Transportation’s Quantum Error Correction IP transformer pipeline. In this phase, the team implemented a standardized data adapter to ingest dense binary syndrome measurements from selected experimental configurations, engineered dynamic attention masking that adapts to code distances and layouts, and established an end-to-end training loop capable of processing mixed batches of real experimental shots. The company said this milestone reduces technical risk by advancing QECC beyond controlled internal data formats and lays the foundation required for scalable training and repeatable benchmarking on a credible external testbed.