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#software testing Open access

Qector Mega: IonQ Superion 256 Walking Cat Decoder (v2.2.1 Frozen Release)

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Qector Mega: IonQ Superion 256 Walking Cat Decoder (v2.2.1 Frozen Release) Distribution Package Manifest & Technical Release Summary Archive: qector_ionq_v2_frozen_clean.zip (445 entries) Access Tier: Restricted (Proprietary / NDA Evaluation Only) Distribution License: LicenseRef-Proprietary (Redistribution Strictly Prohibited) Overview Metadata Attribute Specification Release Version 2.2.1 (Canonical Production Freeze) Author Guillaume Lessard (ORCID: 0009-0000-3465-3753) Affiliation iD01t Productions Programme qector-decoder-v3 Target Hardware IonQ Superion 256 Target Architecture Walking Cat (arXiv:2604.19481) Python Support CPython ≥3.9 (x86_64 / AMD64) Repository / Portal qector.store Abstract & Mathematical Invariants qector-mega v2.2.1 is a frozen production decoder engineered for quantum error correction on the IonQ Superion 256 Walking Cat architecture. The release contains optimized PyO3 Python bindings, high-throughput Rust source code, Lean verification stubs, automated unit tests, and production certification matrices. Core Verification Invariant All public decode routines yielding a correction vector c are strictly required to satisfy: Hc≡s(mod2) where H is the parity-check matrix and s is the observed syndrome vector. Any syndrome lying outside reachable syndrome spaces terminates immediately with an explicit typed error. Supported Quantum Codes The package targets three Walking Cat code configurations, verified via certs/cert_q102_production.json: Code Designation Code Parameters [[n,k,d]] Configuration / Polynomials Artifact Hash Q70 [[70,6,9]] Standard parity configuration 139f6386e5fe0268 Q102 [[102,22,9]] A=[22,26,37,50], B=[19,28,29,35] 9d01bcd0d7c915aa Gross-144 [[144,12,12]] Gross bivariate cyclic configuration 28f2131d00cff8e0 Certified Production Performance (v2.2.1) All metrics below are certified by certs/cert_q102_production.json and certs/cert_math.json using the v2.2.1 production binary: Code Batch Size (B) Median Latency (p50) Tail Latency (p95) Throughput Exhaustive / Invariant Checks Q70 2,000 0.128 ms 0.173 ms 8,644 shots/s Validated against parity check Q102 2,000 0.320 ms 0.558 ms 3,634 shots/s Weight-2 (w2) exhaustive: 5,151 / 5,151 Gross-144 2,000 0.278 ms 0.308 ms 4,414 shots/s Validated against parity check Mathematical Precision (cert_math.json): ϕ involution maximum numerical deviation is 2.5×10−13 across the recorded test grid. SIMD Implementation Details: AVX2 dual-YMM path delivers ∼76 μs (p50) on Q70-like row-elimination operations on the reference build host. The AVX-512 backend remains feature-gated due to rustc 1.75 target_feature instabilities. Distribution Artifacts & Integrity Hashes The archive contains six verified binary wheels (qector_mega-2.2.1-*.whl). Legacy naming schemes (qector_ionq-*) are deprecated and absent from this bundle. Linux Distribution (manylinux_2_34_x86_64) SHA-256: b69584fe57a05232f61193ad953fe0e1486db12504017bd5fbaede678846c4d3 wheels/qector_mega-2.2.1-cp312-cp312-manylinux_2_34_x86_64.whl (1,077,916 bytes) Windows Distributions (win_amd64) Python 3.9: a663651e1396dc3b5d17ff1c85ea64e665ed39133d40097b48f5591f25b57305 wheels/qector_mega-2.2.1-cp39-cp39-win_amd64.whl Python 3.10: 191dfeecb1141ecbd9eac2eef386498e790142f93df039eebb218d7eea1ace9f wheels/qector_mega-2.2.1-cp310-cp310-win_amd64.whl Python 3.11: 298062b91384ff1c34c69187c22e9695f1833a2d3779f4d6f6c3be82ff1d7e55 wheels/qector_mega-2.2.1-cp311-cp311-win_amd64.whl Python 3.12: 8a0858cc19524c070426f247e923f8015b3c0f17faf607b2e7296729b2742c83 wheels/qector_mega-2.2.1-cp312-cp312-win_amd64.whl Python 3.13: ac0dcff193f01835242e5d8d0c8db342aa3da92b9447b8a0a93e89a251f02094 wheels/qector_mega-2.2.1-cp313-cp313-win_amd64.whl Archive Internal Provenance & Audit Notice This release package represents a structured multi-version development tree containing 445 files. When auditing internal documentation, note the following version baselines: Active Binaries: All compiled artifacts strictly reflect release 2.2.1. Historical Metadata: Certain repository files reflect predecessor iterations and should not be cited as current v2.2.1 metrics: FROZEN_MANIFEST.txt and ZENODO_DESCRIPTION.md contain legacy headers and references to v1.7.8 wheel packaging. CHANGELOG.md catalogs intermediate developments (1.7.x → 2.0.0 → 2.1.0). v2.0.0 Baseline Benchmarks (BENCHMARKS.md, 2026-09-14): Q70: p95=0.45 ms Q102: p95=1.26 ms Gross-144: p95=0.88 ms Legacy campaign text detailing GPU T4 throughput (62,826/34,402/28,643 shots/s) and CPU Colab benchmarks (7,110/3,022/3,941 shots/s) are superseded by v2.2.1 certification data. Citation & Licensing This software is distributed under restricted proprietary licensing for evaluation under non-disclosure agreements only. Unauthorized distribution, extraction, or copying is strictly prohibited. Citation Format @software{lessard2026qector, author = {Lessard, Guillaume}, title = {Qector Mega 2.2.1: IonQ Superion 256 / Walking Cat Decoder (Frozen Restricted Package)}, year = {2026}, publisher = {iD01t Productions / qector.store}, version = {2.2.1}, note = {ORCID: 0009-0000-3465-3753. Proprietary evaluation bundle.} }

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