Ra’anana, Israel, January 15, 2026 -- Rail Vision Ltd. (“Rail Vision” or the “Company”), an early commercialization stage technology company seeking to revolutionize railway safety and the data-related market, announced today that its majority owned subsidiary Quantum Transportation Ltd. (“Quantum Transportation”), a quantum computing innovator, has achieved a major technical breakthrough with the successful prototype development and rigorous validation of its first-generation transformer-based neural decoder - a pioneering, code-agnostic solution designed to advance scalable quantum error correction (QEC).

This innovative decoder harnesses advanced transformer architectures to provide a highly generalizable, machine-learning-driven approach capable of outperforming conventional decoding methods. In comprehensive simulations across diverse quantum error correction codes (including surface code variants) and realistic noise environments, the system has demonstrated superior decoding accuracy and efficiency compared to leading classical algorithms, such as Minimum-Weight Perfect Matching (MWPM) and Union-Find.

Highlights of this achievement include:

• Design and finalization of a proprietary transformer architecture specifically optimized for the complex, high-dimensional structure of quantum error syndromes
• In-depth benchmarking and comparative analysis against the current state-of-the-art in QEC decoding techniques
• Strong evidence of generalization across multiple code distances, error rates, and varying noise profiles
• Completion of a solid intellectual property strategy, securing a defensible position for this transformative neural QEC paradigm

This breakthrough aims to support the ongoing collaboration between Rail Vision and Quantum Transportation by combining Quantum Transportation’s quantum-AI based intellectual property and innovation with Rail Vision’s advanced vision and railway-safety technologies. While the decoder is currently focused on quantum computing research applications, the companies are exploring, on a long-term basis, potential areas where similar data analysis and computing methodologies could be applicable to Rail Vision’s core technology.

David BenDavid, CEO of Rail Vision said: “We are pleased with the continued progress at Quantum Transportation. We believe that this breakthrough reflects the strength of its research capabilities and reinforces the strategic optionality of our investment as we evaluate future technology pathways.”