Decoding Quasi-Cyclic Quantum LDPC Codes
Louis Golowich, Venkatesan Guruswami

TL;DR
This paper introduces an efficient decoding algorithm for quasi-cyclic quantum LDPC codes, capable of correcting a large fraction of errors, advancing practical quantum error correction methods.
Contribution
It presents the first efficient decoding algorithm for lifted product quantum LDPC codes with near-linear distance, leveraging their quasi-cyclic structure.
Findings
Decoding algorithm corrects $ heta(N/ ext{log} N)$ adversarial errors.
Algorithm reduces decoding to classical expander LDPC decoding under noisy syndromes.
Applicable to both lifted product and hypergraph product quantum codes.
Abstract
Quantum low-density parity-check (qLDPC) codes are an important component in the quest for quantum fault tolerance. Dramatic recent progress on qLDPC codes has led to constructions which are asymptotically good, and which admit linear-time decoders to correct errors affecting a constant fraction of codeword qubits. These constructions, while theoretically explicit, rely on inner codes with strong properties only shown to exist by probabilistic arguments, resulting in lengths that are too large to be practically relevant. In practice, the surface/toric codes, which are the product of two repetition codes, are still often the qLDPC codes of choice. A previous construction based on the lifted product of an expander-based classical LDPC code with a repetition code (Panteleev & Kalachev, 2020) achieved a near-linear distance (of where is the number of codeword…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Error Correcting Code Techniques
