tqec/tqec
Apr 2025 – Apr 2026
5 Months active
Languages Used
PythonYAMLBibTeXMarkdownRSTtext
Technical Skills
Backend DevelopmentBuild SystemsCode RefactoringDatabase ManagementFull Stack DevelopmentPython Development
BSchelpe
PROFILE
Bschelpe
Worked on the tqec/tqec repository, delivering features and fixes across backend development, database management, and quantum error correction. Built a transparent detector database system with configurable paths and semver-based versioning to ensure data integrity across deployments. Enhanced the quantum error correction pipeline by implementing up-down spatial Hadamards and updating visualizations for extended plaquettes. Prepared the project for academic publishing by integrating BibTeX references, Markdown documentation, and CI workflows for reproducible paper builds. Used Python, YAML, and Markdown to refactor code, improve documentation, and streamline error handling, resulting in more robust, maintainable, and reproducible research software infrastructure.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
10Total
Bugs
3
Commits
10
Features
6
Lines of code
1,655
Activity Months5
Your Network
11 peopleShared Repositories
11
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for tqec/tqec. Focused on delivering a feature-rich enhancement to the fixed bulk quantum error correction pipeline by introducing Up-down Spatial Hadamards in Fixed Bulk Configuration, along with supporting code changes and visuals. The update enables up-down spatial Hadamard operations and connecting spatial cubes via y-directional pipes, and refreshes extended-plaquette visuals to reflect the updated topology. A single core feature was implemented with a co-authored commit; this work lays the groundwork for more flexible spatial routing and improved error-correction layouts.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for tqec/tqec. Focused on delivering a feature-rich enhancement to the fixed bulk quantum error correction pipeline by introducing Up-down Spatial Hadamards in Fixed Bulk Configuration, along with supporting code changes and visuals. The update enables up-down spatial Hadamard operations and connecting spatial cubes via y-directional pipes, and refreshes extended-plaquette visuals to reflect the updated topology. A single core feature was implemented with a co-authored commit; this work lays the groundwork for more flexible spatial routing and improved error-correction layouts.
April 2026
September 2025
5 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on tqec/tqec. Delivered metadata and documentation improvements, branding/ethics updates, and license cleanup to boost discoverability, compliance, and maintainability. Work reflects strong attention to data quality, reviewer feedback, and governance practices, with clear impact on user experience and project quality.
September 2025
5 Commits • 2 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on tqec/tqec. Delivered metadata and documentation improvements, branding/ethics updates, and license cleanup to boost discoverability, compliance, and maintainability. Work reflects strong attention to data quality, reviewer feedback, and governance practices, with clear impact on user experience and project quality.
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, tqec/tqec delivered features to prepare for Journal of Open Source Software (JOSS) submission: added BibTeX references, a Markdown paper content file, and updated the CI workflow to correctly handle the PDF draft output path. This work establishes a reproducible paper build and submission process, enhancing readiness for review and publication. No major bugs were reported; primary focus was on enabling the formal submission workflow and improving documentation and CI reliability.
1 Commits • 1 Features
Aug 1, 2025In August 2025, tqec/tqec delivered features to prepare for Journal of Open Source Software (JOSS) submission: added BibTeX references, a Markdown paper content file, and updated the CI workflow to correctly handle the PDF draft output path. This work establishes a reproducible paper build and submission process, enhancing readiness for review and publication. No major bugs were reported; primary focus was on enabling the formal submission workflow and improving documentation and CI reliability.
August 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tqec/tqec: Key feature delivered: DetectorDatabase Versioning with Semver-based Invalidation. Implemented a version attribute in DetectorDatabase and integrated the semver library to automatically invalidate outdated user databases when a new TQEC code version is deployed, triggering a full recomputation. Version mismatches are handled by raising an exception or issuing a warning depending on whether a custom database path is specified, ensuring deployment-driven data correctness. Major bugs fixed: No standalone bug fixes reported this month; primary focus was on robust versioning and invalidation flows to prevent stale results and ensure consistency across deployments. Overall impact and accomplishments: Delivered an automated, deployment-aware invalidation mechanism that aligns detector results with the latest codebase. This reduces manual cache management, accelerates release confidence, and improves reliability for users relying on up-to-date detector data across versions. Technologies/skills demonstrated: Python class design (DetectorDatabase), semver-based invalidation strategy, versioning attribute integration, deployment-aware error handling, and path-based handling for default vs custom databases.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tqec/tqec: Key feature delivered: DetectorDatabase Versioning with Semver-based Invalidation. Implemented a version attribute in DetectorDatabase and integrated the semver library to automatically invalidate outdated user databases when a new TQEC code version is deployed, triggering a full recomputation. Version mismatches are handled by raising an exception or issuing a warning depending on whether a custom database path is specified, ensuring deployment-driven data correctness. Major bugs fixed: No standalone bug fixes reported this month; primary focus was on robust versioning and invalidation flows to prevent stale results and ensure consistency across deployments. Overall impact and accomplishments: Delivered an automated, deployment-aware invalidation mechanism that aligns detector results with the latest codebase. This reduces manual cache management, accelerates release confidence, and improves reliability for users relying on up-to-date detector data across versions. Technologies/skills demonstrated: Python class design (DetectorDatabase), semver-based invalidation strategy, versioning attribute integration, deployment-aware error handling, and path-based handling for default vs custom databases.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for tqec/tqec: Two critical updates focused on reliability and data management. Key feature delivered: transparent detector database handling with a default local DB and configurable library paths. Major bug fix: cnot_all_observables.py compatibility with the new compilation pipeline by addressing deprecated default arguments via FIXED_BULK_CONVENTION. These changes enhance reproducibility, reduce configuration friction, and improve pipeline resilience. Technologies demonstrated include Python scripting, module-based configuration, and integration with the compilation pipeline. Business value includes more robust, predictable outputs, easier onboarding, and reduced maintenance overhead.
2 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for tqec/tqec: Two critical updates focused on reliability and data management. Key feature delivered: transparent detector database handling with a default local DB and configurable library paths. Major bug fix: cnot_all_observables.py compatibility with the new compilation pipeline by addressing deprecated default arguments via FIXED_BULK_CONVENTION. These changes enhance reproducibility, reduce configuration friction, and improve pipeline resilience. Technologies demonstrated include Python scripting, module-based configuration, and integration with the compilation pipeline. Business value includes more robust, predictable outputs, easier onboarding, and reduced maintenance overhead.
April 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability90.0%
Architecture91.0%
Performance85.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
BibTeXMarkdownPythonRSTYAMLtext
Technical Skills
Academic PublishingBackend DevelopmentBuild SystemsCI/CDCode RefactoringDatabase ManagementDependency ManagementDocumentationError HandlingFull Stack DevelopmentPythonPython DevelopmentSoftware EngineeringTechnical WritingVersion Control
Repositories Contributed To
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