Quantum X Labs integrates Google's public surface-code dataset into its transformer-based quantum error correction system

Quantum X Labs' 30%-owned subsidiary has delivered an integration layer connecting Google Quantum AI's publicly accessible experimental surface-code dataset to the company's Error Correction (QECC) IP transformer pipeline, with a standardized data adapter, dynamic attention masking, and an end-to-end training loop for processing mixed batches of real experimental shots.

The milestone reduces technical risk by advancing quantum error correction (QEC) beyond internal data formats and establishes foundation for scalable training and repeatable benchmarking on an external testbed; the transformer-based neural decoder technology has been previously deployed on AWS cloud and outperformed classical QEC algorithms in simulations.

The decoder IP is licensed from Ramot at Tel Aviv University and has patent-pending status; Quantum X Labs develops quantum algorithms for transportation, drug discovery, and security segments as well as quantum-based GPS replacement solutions.