Datasets:
Dataset schema and provenance
The dataset contains five separate synthetic configurations, with 240 rows total. Each has a single complete train split for loading compatibility, rather than a supervised-learning evaluation split. Files are declared explicitly in the root dataset card; auxiliary CSV, JSON, PDF, code, and archive files are not additional loading inputs.
Configurations
| Configuration | Rows | Fields |
|---|---|---|
six_wing_closure |
64 | mask, active_wings, active_names, rank, formula, source_bits, retained_fraction, closure_rounds |
photon_frontiers |
44 | modes, messages, logical_bits, storage_cutoff, symmetric_cutoff, storage_mean_photons, symmetric_mean_photons, cutoff_ratio |
covariance_plateau |
54 | messages, modes, cutoff, physical_dimension, matched_dimension, minimum_normalized_group_defect |
approximate_query_energy |
72 | independent_query_bits, modes, query_error, necessary_mean_photons |
six_label_encoding |
6 | basis_index, sector_photon_number, lily, tachy, raven, enya, evie, kaya |
Interpretation
six_wing_closure enumerates all six-generator bitmasks from 0 to 63. active_names is semicolon-separated and empty when no generator is active; readers may infer that empty value as null. rank is the computed retained task dimension; formula is the comparison prediction. retained_fraction divides the retained rank by 36.
photon_frontiers compares register-only photon resources over the stated mode/message grids. impossible denotes failure of the requested coherent contract in that setting; undefined denotes an unavailable ratio, including division by a zero storage cutoff. Sentinel-bearing columns require explicit conversion for numerical use and may load as strings.
covariance_plateau holds the 64-label, two-mode example at cutoffs 10 through 63. The defect follows the manuscript's phase-registered group-average metric and is not an experimental error probability.
approximate_query_energy is a lower-bound table over declared bit counts, mode counts, and query errors. Its necessary_mean_photons values are necessary resource bounds, not achieved device operating points.
six_label_encoding is a headered representation of the original real 6×6 encoding matrix. Rows are physical basis coordinates; columns are the named logical labels. basis_index=0 is the vacuum coordinate, with sector_photon_number=0; indices 1 through 5 span the four-photon sector, with sector_photon_number=4. Those indices label a basis and do not assert a fabricated gate layout. The six amplitude columns reproduce the original numeric tokens exactly.
Generation and boundaries
The first four loading files come directly from code/reproduce.py. That script also produces the original headerless matrix data/six_label_encoding.csv. Dataset edition v1.0.2 adds headers and the two basis metadata columns in dataset/six_label_encoding.csv; the original file is preserved and remains the reproduction target.
These are deterministic finite constructions and model-based resource calculations. There is no population sampling, annotation workforce, training corpus, measured optical trace, or personal data. The grids and noiseless assumptions are deliberate and narrow. The tables are suitable for inspecting and reproducing the given examples; they do not establish benchmark superiority or realistic device performance.
The manuscript defines the mathematical quantities. requirements-tested.txt and verification/hf_release/ record the software environment and fresh checks. The dataset edition's original source files remain byte-identical to core v1.0.0.