Planar low-overhead quantum memories with only nearest-neighbour gates
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.
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Authors: Jens Eisert, Boren Gu, Tamas Noszko, Vincent Steffan, Jens Eberhardt, Joschka Roffe, Stergios Koutsioumpas
Institutions: University of Edinburgh, Freie Universität Berlin, Johannes Gutenberg University Mainz, IQM (Germany)