QXL Advances Quantum Error Correction with AI-Driven Decoder
Quantum X Labs (QXL), an advanced technologies company listed on Nasdaq, has announced new results from its AI-driven quantum error-correction program. The program uses Google's public surface-code dataset from a real quantum-hardware experiment to improve the performance of its decoder.
The updated decoder demonstrated improved performance against matching-family benchmarks, including those published by Google, without being trained on real hardware shots from the Google dataset. This is an important validation point for QXL's roadmap toward trusted quantum error correction, according to Prof. Nir Sharon, Chief Quantum Technology Scientist at Quantum X Labs.
The AI component of QXL's decoder combines quantum-code structure, syndrome information, and AI-based error weighting to improve performance while preserving a practical path toward efficient implementation. The company plans to extend the work across additional device centers and code configurations, with a long-term goal of low-latency and eventually real-time quantum error correction.