Almost optimal geometrically local quantum LDPC codes in any dimension

Geometrically local quantum codes, comprised of qubits and checks embedded in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow> <mml:mrow><mml:mi>D</mml:mi></mml:mrow> </mml:msup> </mml:math> with local check operators, have been a subject of significant interest. A key challenge is identifying the optimal code construction that maximizes both code dimension and distance under the geometric constraints. In this work, we introduce a construction that can transform any good quantum LDPC code into an almost optimal geometrically local quantum code. Our approach hinges on a novel yet simple procedure that extracts a two-dimensional structure from an arbitrary three-term chain complex, building a connection between geometric operations and code constructions. We expect that this procedure will find broader applications in areas such as weight reduction and the geometric realization of chain complexes.

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Publication Details

Journal
Nature Communications
Published
2026-02-05
DOI
https://doi.org/10.1038/s41467-026-69031-w
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Almost optimal geometrically local quantum LDPC codes in any dimension

Adam Wills, Min-Hsiu Hsieh, Xingjian Li, Ting-Chun Lin
Nature Communications
Quantum Computing Algorithms and Architecture
article

Almost optimal geometrically local quantum LDPC codes in any dimension

Adam Wills, Min-Hsiu Hsieh, Xingjian Li, Ting-Chun Lin
article en

Abstract

Geometrically local quantum codes, comprised of qubits and checks embedded in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow> <mml:mrow><mml:mi>D</mml:mi></mml:mrow> </mml:msup> </mml:math> with local check operators, have been a subject of significant interest. A key challenge is identifying the optimal code construction that maximizes both code dimension and distance under the geometric constraints. In this work, we introduce a construction that can transform any good quantum LDPC code into an almost optimal geometrically local quantum code. Our approach hinges on a novel yet simple procedure that extracts a two-dimensional structure from an arbitrary three-term chain complex, building a connection between geometric operations and code constructions. We expect that this procedure will find broader applications in areas such as weight reduction and the geometric realization of chain complexes.

Nature CommunicationsVol. 17(1)
University of San Diego (US), Center for Theoretical Physics (PL), University of California San Diego (US), Foxconn (Taiwan) (TW), Massachusetts Institute of Technology (US), Tsinghua University (CN)
Openalex Percentile: Top 67%
Quantum Computing Algorithms and Architecture
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Almost optimal geometrically local quantum LDPC codes in any dimension — Adam Wills, Min-Hsiu Hsieh, et al. · Nature Communications (2026) | TGRS Research Map | TGRS