Rail Vision subsidiary Quantum Transportation integrates Google surface-code dataset into QECC transformer pipeline

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  • Rail Vision’s majority-owned Quantum Transportation integrated Google Quantum AI’s public surface-code dataset into its quantum error-correction transformer pipeline.
  • The integration adds a standardized ingestion layer for experimental syndrome data, enabling end-to-end training on mixed batches of real experimental shots.
  • Quantum Transportation framed the milestone as reducing technical risk by moving beyond internal data formats, supporting scalable training and repeatable benchmarking on an external testbed.


Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Rail Vision Ltd. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202605200732PRIMZONEFULLFEED9723842) on May 20, 2026, and is solely responsible for the information contained therein.

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