Alice & Bob Tests GPU Decoding for Cat-Qubit Error Correction with NVIDIA NVQLink

First implementation shows feasibility of decoding LDPC-cat codes on NVIDIA accelerated infrastructure

PARIS and BOSTON, Oct. 13, 2026 — Alice & Bob, a leader in fault-tolerant quantum computing, today shared results from implementing GPUs to decode its LDPC-cat architecture using NVIDIA NVQLink. The proof of concept using synthetic data is the first time LDPC-cat codes have been decoded on GPUs via the low-latency, high throughput NVQLink architecture, and moves the company a step closer to fast, scalable error correction for its cat-qubit quantum computers.

NVQLink is NVIDIA’s open system architecture for tightly coupling the performance of GPU supercomputing with quantum processors (QPUs) to build accelerated quantum supercomputers. NVQLink specifically supports tasks that require fast communication between quantum and classical hardware, such as error-correction decoding, calibration, and hybrid quantum-classical applications across any qubit modality.

Alice & Bob assessed the feasibility of GPU decoding for LDPC-cat codes using an NVQLink connection with Quantum Machines’ OPX1000 and Open Acceleration Stack, a modular framework that couples the controller directly to GPUs and other classical processors with microsecond-scale roundtrip latency. In particular, researchers assessed whether measurement data could be transferred from the control electronics to the GPU. LDPC-cat codes were developed by Alice & Bob for its cat-qubit architecture and first introduced in the paper “LDPC-cat codes for low-overhead quantum computing in 2D” published in January 2025.