Quantum X Labs’ Decoder Delivers Lowest Logical Error Rates by integrating NVIDIA CUDA-Q QEC in Comparison to Other Decoders
Key Highlights
- ➤QXL decoder cut logical errors 12.7% at distance 3 versus PyMatching
- ➤QXL decoder cut logical errors 12.1% at distance 5 versus PyMatching
- ➤Streaming decoder lowered observed errors approximately 6% at distance 3
- ➤Streaming decoder lowered observed errors 9% at distance 5 versus PyMatching
- ➤QXL plans real-time QEC pipeline testing using NVIDIA NVQLink
Expert Statements
Nir Sharon, Chief Scientist of Quantum X Labs
“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,”
Nir Sharon, Chief Scientist of Quantum X Labs
“It is an important step toward accelerated and adaptable decoding that can ultimately operate alongside quantum control systems.”
QXL's decoder leverages CUDA-Q QEC to manage to cutt logical errors by 12–13% on Google Quantum Hardware Data, in both standard and real-time streaming tests
TEL AVIV, Israel, Oct. 21, 2026 (GLOBE NEWSWIRE) -- Quantum X Labs Inc. (NASDAQ: QXL) (“Quantum X Labs”, “QXL” or the “Company”), a quantum technology company developing advanced solutions across quantum computing, quantum error correction, quantum software, cybersecurity and quantum sensing, today announced a key milestone: its quantum error-correction (QEC) decoder is now deployed and running on NVIDIA CUDA-Q, the open platform for hybrid quantum-classical supercomputing. Leveraging the CUDA-Q QEC library, the decoder made 12–13% fewer logical errors than the platform's standard matching decoder (PyMatching) on Google's publicly released quantum hardware data.
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