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Scott Thornton

At GTC 2026, NVIDIA introduced cudaq-realtime, a new library built on NVQLink that provides a runtime API for microsecond-latency callbacks between GPUs and quantum controllers. CUDA-Q QEC 0.6 integrates directly with cudaq-realtime to bring GPU-accelerated decoding into the real-time quantum control loop. Now any quantum hardware vendor using NVQLink is able to draw on the power of the CUDA-Q QEC library for real-time decoding.

CUDA-Q QEC 0.6 ships with two new real-time-capable decoder pipelines: the RelayBP belief-propagation decoder for qLDPC codes and an NVIDIA Ising convolutional neural network (CNN) pre-decoder paired with a global decoder (PyMatching) for the surface code. These pipelines enable quantum vendors and QEC researchers to deploy real-time GPU decoding for two popular code families via NVQLink.

This blog describes in detail how CUDA-Q QEC 0.6 interacts with NVQLink, allowing developers to see how they can begin to build highly optimized quantum error correction workflows.