Rail Vision Subsidiary Deploys Quantum Error Correction Decoder on AWS

Insider Brief

• Rail Vision Ltd. announced that its majority-owned subsidiary Quantum Transportation Ltd. has deployed its transformer-based neural quantum error correction decoder on the AWS cloud to support scalable processing of quantum data.
• The cloud implementation follows earlier prototype development and simulation results, and is intended to enable testing of the decoder on physical quantum hardware across multiple architectures.
• Rail Vision acquired a 51% stake in Quantum Transportation in January 2026, and the subsidiary holds an exclusive rail-focused sublicense tied to quantum error correction intellectual property from Tel Aviv University’s technology transfer company.

PRESS RELEASE — Rail Vision Ltd. (Nasdaq: RVSN) (“Rail Vision” or the “Company”), an early commercialization stage technology company focused on transforming railway safety and the rail data markets, announced today that its majority owned subsidiary Quantum Transportation Ltd. (“Quantum Transportation”), a quantum computing innovator, has successfully implemented its transformer-based neural decoder on the AWS cloud, marking a significant milestone toward real-world quantum applications within the transportation sector.

Building on the recent unveiling of its transformer neural decoder, which outperformed classical quantum error correction (QEC) algorithms in simulations, and the delivery of its first prototype for universal error correction, Quantum Transportation’s cloud deployment now provides the scalable infrastructure needed to process complex quantum data efficiently.

This achievement positions Quantum Transportation with the ability to collaborate with quantum hardware design partners and enter the next phase: direct testing of its code-agnostic decoder on physical quantum hardware across diverse architectures. By addressing error correction challenges in noisy quantum devices, this technology may have long-term potential for railway anomaly detection, predictive maintenance, and autonomous operations.

“This cloud implementation is a pivotal advancement for Quantum Transportation and aligns seamlessly with Rail Vision’s mission to explore the integration of quantum-AI innovations into the transportation sector,” said David BenDavid, CEO of Rail Vision. “As Quantum Transportation’s majority owner, we are excited to leverage this scalable platform to enhance efficiency and safety in railway operations, capitalizing on the synergies between our AI-driven vision systems and quantum error correction.”

Rail Vision completed its acquisition of a 51% stake in Quantum Transportation on January 14, 2026, through a share exchange transaction. Quantum Transportation holds an exclusive sub-license for rail technologies from an innovative pending patent in quantum error correction owned by Ramot, the technology transfer company of Tel Aviv University.