A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset
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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> The file format is a csv file 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 avaiable with 10M sample for each physical fault rate. The data generation rely on Stim.
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Zenodo创建时间:
2024-05-09



