Published May 9, 2024
| Version 1.0.1
Dataset
Open
A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset
Contributors
Description
Simulated sydromes measurement of quantum surface code error correction.
Used for the paper: "A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction".
File names: d-<surface_code_distance>_pfr-<physical_fault_rate>_nb-<number_of_samples>
Each file is formatted as csv with the following columns:
- label: binary label (0: no error, 1: error)
- syndromes: syndrome measurement sequence (tuples of the form (round, syndromes))
- quantity: number of samples for this label + syndrome sequence
Only distance 3 is currently available with 10M samples for each physical fault rate.
The data generation relies on Stim.
Files
syndromes_dataset.zip
Files
(358.0 kB)
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md5:f95f5223c58aea986664adcb96fdaaa0
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Additional details
Related works
- Is derived from
- Software documentation: 10.22331/q-2021-07-06-497 (DOI)
- Is supplement to
- Preprint: 10.48550/arXiv.2307.09463 (DOI)
- Dataset: 10.5281/zenodo.11164068 (DOI)
Dates
- Submitted
-
2024-05-09
Software
- Programming language
- CSV