Rail Vision Subsidiary Integrates Google Quantum AI Dataset
Rail Vision Ltd. announced that its majority-owned subsidiary, Quantum Transportation Ltd., successfully integrated Google Quantum AI's public surface-code dataset into its Quantum Error Correction (QECC) IP transformer pipeline. This integration involved implementing a standardized data adapter, engineering dynamic attention masking, and establishing an end-to-end training loop. The company views this as a significant milestone that reduces technical risk and provides a foundation for scalable training and benchmarking on a credible external testbed. Quantum Transportation is developing transformer-based quantum decoder technology, with its 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, integrated Google Quantum AI's public surface-code dataset.
- The dataset was integrated into Quantum Transportation's Quantum Error Correction (QECC) IP transformer pipeline.
- This milestone reduces technical risk for QECC development.
- It lays the foundation for scalable training and repeatable benchmarking on an external testbed.
- Quantum Transportation is developing transformer-based quantum decoder technology for advanced quantum error correction.
- The decoder's IP is licensed from Ramot at Tel Aviv University.
- Quantum Transportation previously deployed its transformer neural decoder on the AWS cloud.
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