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Alice & Bob has demonstrated a proof of concept for decoding its LDPC-cat error-correction codes on GPUs using NVIDIA's NVQLink architecture, marking the first time this specific code family has been processed via this low-latency interface. While the current implementation relies on synthetic data and does not yet achieve real-time performance, the results validate the feasibility of coupling classical GPU supercomputing with quantum processors for scalable error correction. This milestone highlights a critical pathway toward building hybrid quantum-classical systems capable of handling the high-throughput demands of fault-tolerant cat-qubit architectures.
Source coveringThe Quantum Insider
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Alice & Bob Decodes LDPC-Cat Codes on GPUs With NVIDIA NVQLink

The Quantum Insider3 min read

Insider Link PRESS RELEASE — 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 […]

Alice & Bob demonstrated GPU decoding of its LDPC-cat error-correction codes using NVIDIA NVQLink and synthetic data, a step toward scalable error correction for cat-qubit quantum computers. The proof of concept used Quantum Machines’ control hardware and showed improved decoding efficiency when processing multiple sets of error measurements in parallel. The demonstration did not achieve…

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