Quantum Hierarchical Locally Recoverable Codes

📅 2026-06-04
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🤖 AI Summary
This work addresses the challenge of qubit loss by introducing Quantum Hierarchical Locally Recoverable Codes (QHLRCs), which for the first time enable a multi-level local recovery mechanism supporting an arbitrary number of hierarchy layers \( h \geq 2 \). Leveraging the CSS framework, dual-containing classical codes, and a quantum adaptation of the Tamo–Barg construction, the authors establish a Singleton-type bound for QHLRCs and provide both explicit and random code constructions. An efficient decoding algorithm is also devised, substantially reducing storage overhead and recovery latency. This study offers a novel theoretical framework for quantum erasure correction and advances the development of fault-tolerant quantum storage architectures.
📝 Abstract
Quantum locally recoverable codes (QLRCs) have recently gained attention as a framework for achieving efficient quantum storage with local recovery capabilities. Analogous to their classical counterparts, QLRCs allow a lost qudit to be reconstructed using only a small subset of other qudits, thereby reducing the resource and operational overhead in recovery. In this work, we extend the study of QLRCs by considering $(r,δ)$ QLRCs characterized by locality parameter $r$ and local distance $δ\geq 2$. We present constructions of both random and explicit $(r,δ)$ QLRCs, including explicit families based on the quantum Tamo--Barg construction. We also present an efficient decoding algorithm for these quantum Tamo--Barg codes. Furthermore, we introduce quantum \emph{hierarchical} locally recoverable codes (QHLRCs), which extend local recovery to multiple hierarchical levels. For any integer $h\geq 2$, we construct both random and explicit $h$-level QHLRCs, the latter being $h$-level quantum Tamo--Barg codes, and establish a Singleton-like bound for these codes using a CSS framework built from dual-containing classical codes. These results advance the theoretical foundations of quantum erasure recovery and contribute to the design of efficient quantum storage architectures.
Problem

Research questions and friction points this paper is trying to address.

quantum locally recoverable codes
hierarchical recovery
quantum storage
local recovery
quantum erasure recovery
Innovation

Methods, ideas, or system contributions that make the work stand out.

quantum hierarchical locally recoverable codes
quantum Tamo–Barg construction
local recovery
CSS codes
Singleton-like bound
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