Effective Distance of Higher Dimensional HGPs and Weight-Reduced Quantum LDPC Codes
Shi Jie Samuel Tan, Lev Stambler

TL;DR
This paper investigates the effective distance of weight-reduced quantum LDPC codes, demonstrating that certain fault-tolerant syndrome extraction methods preserve their error-correcting capabilities, especially in higher-dimensional HGP codes.
Contribution
It proves that weight reduction techniques and distance balancing preserve effective distance, ensuring fault tolerance in quantum LDPC codes, including higher-dimensional HGP codes.
Findings
Single-ancilla syndrome extraction largely preserves effective distance.
Distance balancing technique maintains effective distance.
Higher-dimensional HGP codes have no troublesome hook errors with these methods.
Abstract
Quantum error correction plays a prominent role in the realization of quantum computation, and quantum low-density parity-check (qLDPC) codes are believed to be practically useful stabilizer codes. While qLDPC codes are defined to have constant weight parity-checks, the weight of these parity checks could be large constants that make implementing these codes challenging. Large constants can also result in long syndrome extraction times and bad error propagation that can impact error correction performance. Hastings recently introduced weight reduction techniques for qLDPC codes that reduce the weight of the parity checks as well as the maximum number of checks that acts on any data qubit. However, the fault tolerance of these techniques remains an open question. In this paper, we analyze the effective distance of the weight-reduced code when single-ancilla syndrome extraction circuits…
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Taxonomy
TopicsError Correcting Code Techniques · Advanced Wireless Communication Techniques
