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QXL reports its QEC decoder makes 12-13% fewer logical errors than PyMatching on Google's public surface-code data at distances 3 and 5, using a shared CUDA-Q QEC interface for a like-for-like test. These are company-reported results on one dataset with a modest sample of 10,000 runs, so they need independent replication. Readers should watch whether the gains hold at larger code distances and under real-time latency constraints, since those determine practical value.
Quantum X Lab Decoder Delivers Lowest Logical Error Rates by integrating NVIDIA CUDA - Q QEC in Comparison to Other Decoders
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. Quantum computers are inherently prone to errors, and a decoder is the classical software that interprets error-correction measurements and determines how those errors should be corrected as the machine…
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