Accommodating Fabrication Defects on Floquet Codes with Minimal Hardware Requirements

Floquet codes are an intriguing generalisation of stabiliser and subsystem codes, which can provide good fault-tolerant characteristics while benefiting from reduced connectivity requirements in hardware. A recent question of interest has been how to run Floquet codes on devices which have defective – and therefore unusable – qubits. This is an under-studied issue of crucial importance for running such codes on realistic hardware. To address this challenge, we introduce a new method of accommodating defective qubits on a wide range of two-dimensional Floquet codes, which requires no additional connectivity in the underlying quantum hardware, no modifications to the original Floquet code's measurement schedule, can accommodate boundaries, and is optimal in terms of the number of qubits and stabilisers removed. We numerically demonstrate that, using this method, the planar honeycomb code is fault tolerant up to a fabrication defect probability of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>&amp;#x2248;</mml:mo><mml:mn>12</mml:mn><mml:mi mathvariant="normal">&amp;#x0025;</mml:mi></mml:math>. We find the fault-tolerant performance of this code under defect noise is competitive with that of the surface code, despite its sparser connectivity. We finally propose multiple ways this approach can be adapted to the underlying hardware, through utilising any additional connectivity available, and treating defective auxiliary qubits separately to defective data qubits. Our work therefore serves as a guide for the implementation of Floquet codes in realistic quantum hardware.

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Publication Details

Journal
Quantum
Published
2024-12-12
DOI
https://doi.org/10.22331/q-2024-12-12-1562
Citations
5
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
1.04
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article

Accommodating Fabrication Defects on Floquet Codes with Minimal Hardware Requirements

György Pál Gehér, Campbell McLauchlan, Alexandra E. Moylett
5 citations
Quantum
Advancements in Semiconductor Devices and Circuit Design
1.04
article

Accommodating Fabrication Defects on Floquet Codes with Minimal Hardware Requirements

György Pál Gehér, Campbell McLauchlan, Alexandra E. Moylett
article en
5 citations

Abstract

Floquet codes are an intriguing generalisation of stabiliser and subsystem codes, which can provide good fault-tolerant characteristics while benefiting from reduced connectivity requirements in hardware. A recent question of interest has been how to run Floquet codes on devices which have defective – and therefore unusable – qubits. This is an under-studied issue of crucial importance for running such codes on realistic hardware. To address this challenge, we introduce a new method of accommodating defective qubits on a wide range of two-dimensional Floquet codes, which requires no additional connectivity in the underlying quantum hardware, no modifications to the original Floquet code's measurement schedule, can accommodate boundaries, and is optimal in terms of the number of qubits and stabilisers removed. We numerically demonstrate that, using this method, the planar honeycomb code is fault tolerant up to a fabrication defect probability of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>&amp;#x2248;</mml:mo><mml:mn>12</mml:mn><mml:mi mathvariant="normal">&amp;#x0025;</mml:mi></mml:math>. We find the fault-tolerant performance of this code under defect noise is competitive with that of the surface code, despite its sparser connectivity. We finally propose multiple ways this approach can be adapted to the underlying hardware, through utilising any additional connectivity available, and treating defective auxiliary qubits separately to defective data qubits. Our work therefore serves as a guide for the implementation of Floquet codes in realistic quantum hardware.

QuantumVol. 8
Riverlane (United Kingdom) (GB), University College London (GB)
Openalex Percentile: Top 22%
Advancements in Semiconductor Devices and Circuit Design
1.04
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