Published May 9, 2024 | Version 1.0.1
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A Memristive Neural Decoder for Cryogenic Fault-Tolerant Quantum Error Correction - Syndromes Dataset

  • 1. Irréversible Inc.
  • 2. ROR icon Université de Sherbrooke
  • 3. Institut Interdisciplinaire d'Innovation Technologique (3IT)
  • 4. ROR icon Laboratoire Nanotechnologies et Nanosystèmes
  • 5. Institut quantique (IQ)
  • 6. 1QB Information Technologies (1QBit)
  • 1. 1QB Information Technologies (1QBit)
  • 2. ROR icon Université de Sherbrooke
  • 3. Institut Interdisciplinaire d'Innovation Technologique (3IT)
  • 4. ROR icon Laboratoire Nanotechnologies et Nanosystèmes
  • 5. Institut quantique (IQ)
  • 6. Irréversible Inc.

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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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