Planar low-overhead quantum memories with only nearest-neighbour gates

Abstract High-performance quantum low-density parity-check codes promise substantial reductions in the overhead of fault-tolerant quantum computation, but most constructions require long-range connectivity or qubit shuttling, both of which are difficult to realise in superconducting architectures. Here we introduce a family of quantum low-density parity-check codes that, for the first time, combines planar open-boundary layouts, finite-size ad- vantages over surface codes, and syndrome extraction using only nearest-neighbour gates on a planar grid of qubits with either square or hexagonal connectivity. The resulting circuits achieve optimal constant-depth sta- biliser measurement, independent of code size, and naturally enable periodic leakage removal by exchanging the roles of check and data qubits between syndrome-extraction rounds. We find finite-size instances such as a [[323, 14, 15]] code, whose code-efficiency ratio is nearly an order of magnitude larger than that of rotated surface-code patches. At around 40 circuit qubits per logical qubit, the best directional tile-code layouts reduce the per-logical per-round logical error rate by a factor of 100 relative to rotated surface-code memories. These results show that the advantages of quantum low-density parity-check codes can survive compilation into strictly planar nearest-neighbour circuits, bringing low-overhead fault-tolerant memories closer to near-term hardware.

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Publication Details

Journal
Research Square
Published
2026-11-03
DOI
https://doi.org/10.21203/rs.3.rs-11493826/v1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint

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preprint

Planar low-overhead quantum memories with only nearest-neighbour gates

Joschka Roffe, Jens Eberhardt, Vincent Steffan, Jens Eisert et al.
3 links
Research Square
Quantum Computing Algorithms and Architecture
preprint

Planar low-overhead quantum memories with only nearest-neighbour gates

Joschka Roffe, Jens Eberhardt, Vincent Steffan, Jens Eisert, Stergios Koutsioumpas, Tamas Noszko, Boren Gu
preprint en

Abstract

Abstract High-performance quantum low-density parity-check codes promise substantial reductions in the overhead of fault-tolerant quantum computation, but most constructions require long-range connectivity or qubit shuttling, both of which are difficult to realise in superconducting architectures. Here we introduce a family of quantum low-density parity-check codes that, for the first time, combines planar open-boundary layouts, finite-size ad- vantages over surface codes, and syndrome extraction using only nearest-neighbour gates on a planar grid of qubits with either square or hexagonal connectivity. The resulting circuits achieve optimal constant-depth sta- biliser measurement, independent of code size, and naturally enable periodic leakage removal by exchanging the roles of check and data qubits between syndrome-extraction rounds. We find finite-size instances such as a [[323, 14, 15]] code, whose code-efficiency ratio is nearly an order of magnitude larger than that of rotated surface-code patches. At around 40 circuit qubits per logical qubit, the best directional tile-code layouts reduce the per-logical per-round logical error rate by a factor of 100 relative to rotated surface-code memories. These results show that the advantages of quantum low-density parity-check codes can survive compilation into strictly planar nearest-neighbour circuits, bringing low-overhead fault-tolerant memories closer to near-term hardware.

Research Square
Johannes Gutenberg University Mainz (DE), IQM (Germany) (DE), Freie Universität Berlin (DE), University of Edinburgh (GB)
University of Glasgow, Deutsche Forschungsgemeinschaft, QuantERA, Engineering and Physical Sciences Research Council
Quantum Computing Algorithms and Architecture
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