Fault-Tolerant Noise Guessing Decoding of Quantum Random Codes
Abstrak
This work addresses the open question of implementing fault-tolerant quantum random linear codes (QRLCs) with feasible computational overhead. We present a new decoder for QRLCs capable of dealing with imperfect decoding operations. A first approach, introduced by Cruz et al. (2023), only considered channel errors and perfect gates at the decoder. Here, we analyze the fault-tolerant characteristics of QRLCs with a new noise guessing decoding technique, when considering preparation, measurement, and gate errors in the syndrome extraction procedure, while also accounting for error degeneracy. Our findings indicate a threshold error rate (<inline-formula><tex-math notation="LaTeX">${p_{\text{threshold}}}$</tex-math></inline-formula>) of approximately <inline-formula><tex-math notation="LaTeX">${2\times 10^{-5}}$</tex-math></inline-formula> in the asymptotic limit, while considering realistic noise levels in the mentioned physical procedures.
Topik & Kata Kunci
Penulis (4)
Diogo Cruz
Francisco A. Monteiro
Andre Roque
Bruno C. Coutinho
Akses Cepat
- Tahun Terbit
- 2025
- Sumber Database
- DOAJ
- DOI
- 10.1109/TQE.2025.3595778
- Akses
- Open Access ✓