Gix Internet reports that Quantum X Labs’ quantum error-correction decoder achieved 12 to 13 percent fewer logical errors when tested against Google’s publicly released quantum hardware data using the NVIDIA CUDA-Q platform. The decoder outperformed the platform’s standard PyMatching decoder at code distances 3 and 5, demonstrating its ability to operate within a leading quantum computing software environment.
“This milestone demonstrates that QXL’s decoder technology can operate within a leading quantum computing software environment and deliver encouraging results on real experimental data,” said Prof. Nir Sharon, Chief Scientist of Quantum X Labs. Gix holds approximately 13 percent (2,818,585 shares) of Quantum X Labs.
QEC Decoder Achieves Error Reduction with NVIDIA CUDA-Q
The decoder, now operating on NVIDIA CUDA-Q, demonstrated this improvement during tests on a dataset of 10,000 runs spanning five error-correction rounds, indicating a potential pathway to more reliable quantum computations. At code distance 5, the QXL decoder further reduced logical errors by 12 percent. A separate evaluation, using a 25-round streaming approach, revealed an approximately 6 percent lower logical error rate at distance 3 and a 9 percent reduction at distance 5, suggesting the decoder’s efficacy in real-time error correction pipelines.
The company intends to integrate the decoder with an NVIDIA NVQLink connection to facilitate real-time quantum error correction. Beyond decoder performance, Quantum X Labs’ LayerQake technology significantly improved quantum cybersecurity metrics on three IBM quantum processors, ibm_fez, ibm_kingston and ibm_marrakesh. LayerQake reduced measurement bias from approximately 11 percent to below 6 percent across all three processors, a substantial improvement achieved through its problem-independent calibration approach.
This calibration method mitigates hardware-induced inaccuracies without requiring problem-specific tailoring, offering a potentially scalable solution for quantum systems. LayerQake demonstrated a 15- to 21-fold reduction in maximum cumulative error during pre-registered, reproducible tests, indicating a robust enhancement in data integrity.
This milestone demonstrates that QXL’s decoder technology can operate within a leading quantum computing software environment and deliver encouraging results on real experimental data.
Prof. Nir Sharon, Chief Scientist of Quantum X Labs
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