Towards self-correcting quantum codes for neutral atom arrays
Jinkang Guo, Yifan Hong, Adam Kaufman, Andrew Lucas

TL;DR
This paper introduces ZSZ codes, a new class of quantum error-correcting codes based on non-abelian groups, demonstrating their potential for scalable, self-correcting quantum memories with favorable thresholds and feasible implementation in neutral atom arrays.
Contribution
The paper presents ZSZ codes, a novel non-abelian generalization of bicycle codes, with numerical evidence of competitive performance and improved self-correcting capabilities over existing codes.
Findings
Achieve a threshold around 0.5% under circuit-level depolarizing noise.
Show a sustainable threshold around 0.095% with local self-correcting decoders.
Propose implementation of ZSZ codes using neutral atom arrays with global syndrome extraction.
Abstract
Discovering low-overhead quantum error-correcting codes is of significant interest for fault-tolerant quantum computation. For hardware capable of long-range connectivity, the bivariate bicycle codes offer significant overhead reduction compared to surface codes with similar performance. In this work, we present "ZSZ codes", a simple non-abelian generalization of the bivariate bicycle codes based on the group . We numerically demonstrate that certain instances of this code family achieve competitive performance with the bivariate bicycle codes under circuit-level depolarizing noise using a belief-propagation and ordered-statistics decoder, with an observed threshold around . We also benchmark the performance of this code family under local "self-correcting" decoders, where we observe significant improvements over the bivariate bicycle codes,…
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