Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation

Quantum low-density parity-check (QLDPC) codes have emerged as a promising technique for quantum error correction. A variety of decoders have been proposed for QLDPC codes and many of them utilize belief propagation (BP) decoding in some fashion. However, the use of BP decoding for degenerate QLDPC codes is known to face issues with convergence. These issues are commonly attributed to short cycles in the Tanner graph and multiple syndrome-matching error patterns due to code degeneracy. Although various methods have been proposed to mitigate the non-convergence issue, such as BP with ordered statistics decoding (BP-OSD) and BP with stabilizer inactivation (BP-SI), achieving better performance with lower complexity remains an active area of research. In this work, we propose to decode QLDPC codes with BP guided decimation (BPGD), which has been previously studied for constraint satisfaction and lossy compression problems. The decimation process is applicable to both binary BP and quaternary BP and involves sequentially freezing the value of the most reliable qubits to encourage BP convergence. Despite its simplicity, we find that BPGD significantly reduces BP failures due to non-convergence while maintaining a low probability of error given convergence, achieving performance on par with BP-OSD and BP-SI. To better understand how and why BPGD improves performance, we discuss several interpretations of BPGD and their connection to BP syndrome decoding.