A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset

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.