Quantum X Labs Announces Additional Advancement in Quantum Error Correction Using NVIDIA CUDA-Q with New Results on Google’s Dataset

Quantum X Labs announced that its updated AI-driven quantum error-correction decoder demonstrated improved performance against Google's published benchmarks, including PyMatching and correlated-matching, using Google's public surface-code dataset. Notably, QXL's model achieved these results while being trained exclusively on synthetic samples, validating its ability to generalize to real experimental syndrome data without prior exposure to the specific hardware. Prof.

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