Skip to content
#software testing Open access

SATI OS v18.1.0-beta.1: Source Bundle

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

Abstract

SATI OS v18.1.0-beta.1: Source Bundle (Private Review, 2026-09-10) Description Frozen source bundle of SATI OS v18.1.0-beta.1 (codename BETA_PRIVATE_REVIEW), a proprietary quantum error-correction software stack built around the LCL-832 [[832,10,d]] genus-5 topological code. This is a private review snapshot prepared for restricted-access archival deposit; it is not a general-availability release. The stack bundles BP-OSD, MWPM, Union-Find, and Belief-Matching decoders, a QEC compiler with magic-state distillation, a seven-method error-mitigation layer, multi-vendor hardware abstraction, a FastAPI REST API, a CustomTkinter desktop GUI, an MCP server, and the qector-decoder-v3 1.0.0 Enterprise wheel for air-gapped install. The system is simulation-validated and software-complete. No full 832-qubit fault-tolerant hardware demonstration has been performed. Contents The bundle contains the sati/ Python package source tree (decoders, compiler, error mitigation, benchmarking, multi-vendor HAL, REST API, GUI, MCP server, database, compliance, security, codex, lcl832), the LCL-832 genus-5 code matrices in clean_gb_v3 form (d ≥ 4 proven exhaustively for weights 1 to 3, upper bound 32 via QDistRnd), the pinned offline wheelhouse/ with the qector-decoder-v3 1.0.0 Enterprise wheel and its license key, the Windows / Linux / Inno Setup installers, the project metadata, the full technical specification in Markdown and PDF, the README and CHANGELOG, and the CI workflow under .github/. The SHA256SUMS.json at the bundle root signs the eleven signed-off release artifacts. The bundle excludes build artifacts (dist/, payload/, build/), runtime state (sati.db, logs, telemetry, reports, results), virtualenvs, Python bytecode caches, the separate QECTOR Workbench repository, and the BETA announcement marketing material. Versioning Package: sati 18.1.0-beta.1 Channel: beta / BETA_PRIVATE_REVIEW Python: 3.12 (cp312 wheels, offline wheelhouse) Bundled decoder: qector-decoder-v3 1.0.0 Enterprise Author: Guillaume Lessard, iD01t Productions, 2026 Contact: admin@qector.store Web: https://www.qector.store Scope and intellectual property This is a private review snapshot, not a general-availability release. SATI OS is licensed under LicenseRef-Proprietary (see LICENSE). The bundled qector-decoder-v3 1.0.0 wheel is licensed under its own commercial terms and is included only for running the bundled decoder within SATI OS under the EULA. No production rights, redistribution rights, or rights to create derivative works are granted by this deposit. All commercial use requires a written license from the copyright holder. The evaluation EULA in EULA.txt grants a ninety-day internal-evaluation license, sets a $0 aggregate liability cap, applies Delaware governing law, and forbids commercial use without written consent. Honest boundaries Real and demonstrated on the source tree this bundle was cut from: the bundled decoder implementations execute on real test data with no mocks; the QEC compiler, the seven-method error mitigator, the benchmark suite, the SQLAlchemy ORM, the FastAPI REST API with 120 routes, the CustomTkinter GUI with 39 panels, the MCP server, the multi-agent swarm, and the LCL-832 matrix audit. 36 of 36 install checks pass; integrity, full-form, release-evidence 9/9 READY; sell-ready 7/7 SELL_READY_ENGINEERING. Simulation evidence, not hardware demonstrations: the LCL-832 finite-code pseudothreshold (p_pseudo ≈ 6.957 × 10⁻⁵) is a code-capacity / phenomenological / circuit-level simulation result via Stim, PyMatching, LDPC, and numerical solvers. The repetition-code error-suppression ratio (Λ ≈ 6.5) is a Stim + PyMatching simulation, not a hardware measurement. No full 832-qubit fault-tolerant hardware demonstration has been performed on the genus-5 code. The asymptotic threshold theorem is explicitly not claimed. Vendor hardware adapters call real vendor SDKs only when those SDKs and credentials are present; otherwise they fall back to clearly labelled local simulation. Multi-vendor hardware execution has not been demonstrated; live submission is credential-gated (IBM exercised). Access This deposit is restricted. Access is granted only to authorized reviewers who accept the bundled EULA. The full SHA-256 manifest is in SHA256SUMS.json at the bundle root; reviewers may verify any release artifact against its recorded hash before use. Metadata Field Value Title SATI OS v18.1.0-beta.1: Source Bundle (Private Review) Resource type Software Version 18.1.0-beta.1 Publication date 2026-09-10 Author Guillaume Lessard, iD01t Productions, 2026 Creator Guillaume Lessard Contact email admin@qector.store Language eng License LicenseRef-Proprietary (see LICENSE and EULA.txt) Access Restricted (authorized reviewers only) Keywords quantum error correction, topological codes, genus-5, LCL-832, QEC decoder, BP-OSD, MWPM, Union-Find, REST API, MCP, air-gapped, hardware abstraction layer, HAL, cross-platform QEC Related works isSupplementedBy 10.5281/zenodo.22678419 (QECTOR v1.7.7 Reference Manual) · references 10.5281/zenodo.22676194 (QECTOR v1.7.7 Frozen Release)

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

GPT-Lab Sep 23, 2026

Requirements Don’t Live in Isolation: What We’re Exploring with Req-Space

Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.