Rail Vision's Quantum Transportation Integrates Google Quantum AI Dataset
Rail Vision Ltd. announced that its majority-owned subsidiary, Quantum Transportation Ltd., successfully integrated a publicly accessible experimental surface-code dataset from Google Quantum AI into its Quantum Error Correction (QECC) IP transformer pipeline. This milestone involved implementing a standardized data adapter, engineering dynamic attention masking, and establishing an end-to-end training loop capable of processing mixed batches of real experimental shots. The achievement reduces technical risk by advancing QECC beyond internal data formats and lays the foundation for scalable training and repeatable benchmarking on a credible external testbed. Quantum Transportation is developing transformer-based quantum decoder technology with IP licensed from Ramot at Tel Aviv University and previously deployed its neural decoder on the AWS cloud.
Key Highlights
- Rail Vision's majority-owned subsidiary, Quantum Transportation, successfully integrated a Google Quantum AI dataset into its Quantum Error Correction (QECC) IP transformer pipeline.
- The integration involved implementing a standardized data adapter for dense binary syndrome measurements.
- Dynamic attention masking was engineered to adapt to code distances and layouts.
- An end-to-end training loop was established to process mixed batches of real experimental shots.
- This milestone reduces technical risk and lays the foundation for scalable training and benchmarking on an external testbed.
- Quantum Transportation's QECC IP (patent pending) is licensed from Ramot at Tel Aviv University.
- Rail Vision holds a 51% stake in Quantum Transportation.
Price Impact
More from RVSN