Supplemental Data for "Halma, a routing technique designed to mitigate defects"

Published: 27 May 2025| Version 2 | DOI: 10.17632/69x7bkrd7y.2
Contributors:
Runshi Zhou,
,
,

Description

The data support a comparison between Halma, a routing technique designed to mitigate defects, and methods such as Superstabilizer and LUCI.

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Steps to reproduce

Data in Halma_vs_Supstab_LER_per_round.csv and Halma_vs_LUC_Memory_LER_per_round.csv are used in Fig. 3 (a) and (b) from the main text, respectively. Both table records the simulated logical error per rounds. Data in Halma_vs_LUC_Memory_LER.csv records the logical error rate simulated in stability experiments, and are used in Fig. 3 (c) from the main text. Data in the MC_LER folder are used for benchmarking general defects, with the averaged logical error per round recorded in Monte_Carlo_LER_per_rounnd.csv, and selectivly presented in Fig. 4 (a) from the main text. Data in Teraquop_Footptint.csv are calculated from data in the MC_LER folder, and are used in Fig. 4 (b) from the main text. The syndrome extraction circuits for Halma and the conventional superstabilizer approach are generated by custom written functions, and circuits for LUCI are written manually. The codes are available at https://github.com/iqubit-org/Halma. The performance of these circuits is then evaluated under different physical noise levels, with their logical error rates per round (or overall logical error rates for stability experiments) recorded in these tables.

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Categories

Quantum Error Correction

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