QECTOR Decoder v3 (1.0.0) - Full Scientific Verification & Validation Report

Abstract

This deposit contains the complete author conducted scientific verification and validation package for QECTOR Decoder v3 version 1.0.0 (PyPI: qector decoder v3). Package under test qector decoder v3 1.0.0 (cp311 win_amd64 release wheel) Black box test suite written exclusively against the public API 120 tests × 2 license tiers (Community / Enterprise) × 2 independent runs Verification results Community tier: 105 passed / 0 failed / 15 skipped (87.5 %) Enterprise tier: 119 passed / 0 failed / 1 skipped (99.17 %) Zero residual failures, zero flaky tests Key contents of this deposit Full verification report (PDF + Markdown + JSON + CSV) Logical error rate cross check vs PyMatching (rep d3, p=0.01, 12 000 seeded shots) • qector Blossom LER = 0.00392 • PyMatching LER = 0.00317 • Δ = +0.00075 (passes the acceptance gate Δ ≤ 1e-3) • Wilson 95 % intervals and binomial noise floor analysis CPU and GPU throughput scaling (distance 3 → 63, batches up to 1 000 000 shots) Single shot latency and batch throughput figures for both license tiers Complete SHA 256 provenance manifest for every artifact Charts: LER comparison, statistical proof, scaling curves, verification outcomes, benchmark summary Mathematical formulas (LER estimator, Wilson intervals, acceptance gate, matching definition) Log of three defects identified and fixed before the 1.0.0 release Full black box test suite and verification harness so any third party can re execute the entire procedure Hardware note All measurements performed on a machine with NVIDIA GeForce GTX 1660 Ti (Turing, 2019). GPU figures are indicative; CPU figures are authoritative. Related records This deposit continues the QECTOR benchmark series previously published as: 10.5281/zenodo.21339300 (v0.6.6) 10.5281/zenodo.21760127 (v0.7.0) PyPI: https://pypi.org/project/qector-decoder-v3/Community: QECTOR Research Archive Licensing This record contains two categories of material, licensed under different terms. Data, reports, and documentation (datasets, JSON and CSV artifacts, figures, PDF reports, certificates, Markdown and text reports): made available under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). You may share and adapt this material, including for commercial purposes, provided you give appropriate credit to Guillaume Lessard / iD01t Productions and indicate if changes were made. Code (all .py files, .pyi stubs, notebooks, and scripts): licensed under the PolyForm Noncommercial License 1.0.0. You may use, copy, and modify the code for noncommercial purposes only. Any commercial use, including use in or to develop a commercial product or service, requires a separate commercial license from iD01t Productions. The full license text is included in this record (LICENSE-POLYFORM-NONCOMMERCIAL-1.0.0) and at https://polyformproject.org/licenses/noncommercial/1.0.0/ . Copyright (c) 2026 Guillaume Lessard / iD01t Productions. All rights reserved except as expressly granted above. Note on prior versions: earlier versions of this record were published with a CC-BY-4.0 metadata license. That grant is irrevocable for copies already obtained under it. The terms above apply to this version and all future versions.