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This paper tackles a practical bottleneck in fault-tolerant quantum computing: whether error-correction decoding can keep pace with hardware. The authors show a high-rate qLDPC code decoded on FPGAs within the latency budgets of neutral-atom and trapped-ion systems, with an ASIC suggested for superconducting platforms. Readers should note that the results are simulation-based at specific physical error rates and iteration caps, so they indicate feasibility rather than demonstrated hardware performance.
Real-time BP decoding of a high-rate QEC code
arXiv:2610.41413v1 Announce Type: new Abstract: We present a real-time FPGA decoder for a high-rate $[[512,174,8]]$ 3D product qLDPC code. We construct a circuit-level detector-error model for a compact syndrome-extraction schedule and propose a small parallel ensemble of row-wise serial min-sum decoders with cumulative memory. The decoder matches $\text{BP+OSD-CS}_\text{10}$ accuracy with one core and Relay-BP accuracy with three cores. The FPGA implementation meets the latency budget of neutral-atom and trapped-ion systems. An ASIC implementation would improve the latency, enabling real time decoding even for superconducting systems. At a physical error rate of $p=10^{-3}$, three FPGA devices decode 174 logical qubits with a logical error rate of $5\times10^{-7}$ and effective distance 6. For $p=10^{-4}$, and assuming the number of BP iterations is capped to 30, the decoder's average latency is $5.1\,$\textmu s and its worst-case latency is $97.9\,$\textmu s.
Abstract:We present a real-time FPGA decoder for a high-rate $[[512,174,8]]$ 3D product qLDPC code. We construct a circuit-level detector-error model for a compact syndrome-extraction schedule and propose a small parallel ensemble of row-wise serial min-sum decoders with cumulative memory. The decoder matches $\text{BP+OSD-CS}_\text{10}$ accuracy with one core and Relay-BP accuracy with three cores. The FPGA implementation meets the latency budget of neutral-atom and trapped-ion systems. An ASIC implementation would improve the latency, enabling real time decoding even for superconducting systems. At a physical error rate of $p=10^{-3}$, three FPGA devices decode 174 logical qubits with a logical error rate of $5\times10^{-7}$ and effective distance 6. For $p=10^{-4}$, and assuming the number of BP iterations is capped to 30, the decoder's average latency is $5.1\,$\textmu s and its worst-case latency is $97.9\,$\textmu s.
arXiv:2610.41413 [quant-ph]
(or arXiv:2610.41413v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.41413 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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