Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays
Abstract
Quantum error correction is widely believed to be essential for large-scale quantum computation, but the required qubit overhead remains a central challenge. Quantum low-density parity-check codes can substantially reduce this overhead through high-rate encodings, yet finite-size instances with practical logical error rates often achieve encoding rates only around or below $1/10$. Here, building on a recent ultra-high-rate construction by Kasai, we identify new structural conditions on the under...
Description / Details
Quantum error correction is widely believed to be essential for large-scale quantum computation, but the required qubit overhead remains a central challenge. Quantum low-density parity-check codes can substantially reduce this overhead through high-rate encodings, yet finite-size instances with practical logical error rates often achieve encoding rates only around or below . Here, building on a recent ultra-high-rate construction by Kasai, we identify new structural conditions on the underlying affine permutation matrices that make encoding rates exceeding compatible with efficient implementation on reconfigurable neutral atom arrays. These conditions define a co-designed family of ultra-high-rate quantum codes that supports efficient syndrome extraction and atom rearrangement under realistic parallel control constraints. Using a hierarchical decoder with high accuracy and good throughput, we study the performance under a circuit-level noise model with , achieving per-logical-per-round error rates of with a code and with a code. These results approach the teraquop regime, highlighting the promise of this code family for practical ultra-high-rate quantum error correction.
Source: arXiv:2604.16209v1 - http://arxiv.org/abs/2604.16209v1 PDF: https://arxiv.org/pdf/2604.16209v1 Original Link: http://arxiv.org/abs/2604.16209v1
Please sign in to join the discussion.
No comments yet. Be the first to share your thoughts!
Apr 20, 2026
Quantum Computing
Quantum Physics
0