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Balanced Product Quantum Codes

Nikolas P. Breuckmann, Jens N. Eberhardt

2021IEEE Transactions on Information Theory130 citationsDOIOpen Access PDF

Abstract

This work provides the first explicit and non-random family of [[N,K,D]] LDPC quantum codes which encode K ∈ Θ(N <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4/5</sup> ) logical qubits with distance D ∈ Ω(N <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3/5</sup> ). The family is constructed by amalgamating classical codes and Ramanujan graphs via an operation called balanced product. Recently, Hastings-Haah-O'Donnell and Panteleev-Kalachev were the first to show that there exist families of LDPC quantum codes which break the polylog(N)√N distance barrier. However, their constructions are based on probabilistic arguments which only guarantee the code parameters with high probability whereas our bounds hold unconditionally. Further, balanced products allow for non-abelian twisting of the check matrices, leading to a construction of LDPC quantum codes that can be shown to have K ∈ Θ(N) and that we conjecture to have linear distance D ∈ Θ(N).

Topics & Concepts

Quantum convolutional codeBlock codeMathematicsLinear codeDiscrete mathematicsExpander codeLow-density parity-check codeTurbo codeHamming codeQubitConcatenated error correction codeQuantumFactor graphConjectureQuantum computerQuantum informationTornado codeTheoretical computer scienceReed–Muller codeAlgorithmSerial concatenated convolutional codesHamming weightQuantum algorithmCombinatoricsQuantum channelError detection and correctionComputer scienceProduct (mathematics)Probabilistic logicHamming distanceRaptor codeCode (set theory)Quantum information scienceQuantum error correctionQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyComplexity and Algorithms in Graphs
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