cda-tum/mqt-qecc
Nov 2024 – Aug 2025
8 Months active
Languages Used
Jupyter NotebookPythonQASMreStructuredTextC++CMakeMarkdownCSS
Technical Skills
Algorithm DesignCircuit SynthesisCode ImplementationDocumentationQiskitQuantum Computing
Tom Peham
PROFILE
Tom Peham
Tom Peham developed advanced quantum error correction tooling in the cda-tum/mqt-qecc repository, focusing on encoding circuit synthesis, simulation infrastructure, and robust test automation. He implemented Gottesman and CSS encoding circuit synthesis for stabilizer codes, expanded support for diverse code families, and introduced noise modeling and cat-state preparation modules. Using Python and C++, Tom refactored legacy components to streamline a Python-first workflow, improved CI/CD reliability, and enhanced documentation for better onboarding. His work addressed both feature development and bug fixes, demonstrating depth in algorithm implementation, code optimization, and packaging, while ensuring the codebase remained maintainable and extensible for future research.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
21Total
Bugs
5
Commits
21
Features
13
Lines of code
39,712
Activity Months8
Your Network
124 people
Work History
August 2025
2 Commits • 1 Features
Aug 1, 2025Performance-focused monthly summary for 2025-08. This period delivered significant improvements to the mqt-qecc repository, notably introducing Gottesman encoding circuit synthesis for stabilizer codes (including non-CSS codes) and stabilizing verification circuit synthesis by correctly applying max_ancillas. These changes expand code applicability, improve reliability of the encoding/verification processes, and enhance test coverage.
2 Commits • 1 Features
Aug 1, 2025Performance-focused monthly summary for 2025-08. This period delivered significant improvements to the mqt-qecc repository, notably introducing Gottesman encoding circuit synthesis for stabilizer codes (including non-CSS codes) and stabilizing verification circuit synthesis by correctly applying max_ancillas. These changes expand code applicability, improve reliability of the encoding/verification processes, and enhance test coverage.
August 2025
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for cda-tum/mqt-qecc focusing on cat-state preparation, noise modeling, circuit refactoring, and reliability improvements. Delivered new modules and architecture enhancements enabling scalable simulations and robust CI across environments.
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for cda-tum/mqt-qecc focusing on cat-state preparation, noise modeling, circuit refactoring, and reliability improvements. Delivered new modules and architecture enhancements enabling scalable simulations and robust CI across environments.
June 2025
2 Commits • 1 Features
Jun 1, 2025For June 2025, repository cda-tum/mqt-qecc, delivered key enhancements to make qsample optional, improving installation experience and reducing friction for users. Refactored packaging (pyproject.toml) to set qsample as an optional dependency and updated circuit_synthesis to gracefully handle ImportError, with documentation explaining optional extra installation. Introduced test stability by filtering qsample deprecation warnings during tests to ensure reliable test runs when qsample is installed locally. These changes reduce onboarding friction, improve CI reliability, and demonstrate strong packaging, robustness, and test infrastructure skills.
2 Commits • 1 Features
Jun 1, 2025For June 2025, repository cda-tum/mqt-qecc, delivered key enhancements to make qsample optional, improving installation experience and reducing friction for users. Refactored packaging (pyproject.toml) to set qsample as an optional dependency and updated circuit_synthesis to gracefully handle ImportError, with documentation explaining optional extra installation. Introduced test stability by filtering qsample deprecation warnings during tests to ensure reliable test runs when qsample is installed locally. These changes reduce onboarding friction, improve CI reliability, and demonstrate strong packaging, robustness, and test infrastructure skills.
June 2025
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for cda-tum/mqt-qecc: Delivered two major feature improvements focused on test infrastructure efficiency and documentation/navigation enhancements. These changes reduce CI runtime, improve maintainability, and boost onboarding and external readability. No critical bug fixes were recorded this month. This aligns with business goals of faster feedback loops and better developer experience.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for cda-tum/mqt-qecc: Delivered two major feature improvements focused on test infrastructure efficiency and documentation/navigation enhancements. These changes reduce CI runtime, improve maintainability, and boost onboarding and external readability. No critical bug fixes were recorded this month. This aligns with business goals of faster feedback loops and better developer experience.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025: Focused on streamlining the QECC tooling toward a Python-first workflow and enabling file-based loading of QECCs. Key maintenance and business-value work reduced long-term risk by removing legacy C++ components and aligning CI/docs with a Python-centric package. Introduced file-based loading for CSSCode and StabilizerCode, and made the CSSCode distance parameter optional, with docs and example notebooks updated accordingly. These changes improve reproducibility, onboarding, and experimentation speed for Python users while reducing ongoing maintenance.
3 Commits • 2 Features
Apr 1, 2025April 2025: Focused on streamlining the QECC tooling toward a Python-first workflow and enabling file-based loading of QECCs. Key maintenance and business-value work reduced long-term risk by removing legacy C++ components and aligning CI/docs with a Python-centric package. Introduced file-based loading for CSSCode and StabilizerCode, and made the CSSCode distance parameter optional, with docs and example notebooks updated accordingly. These changes improve reproducibility, onboarding, and experimentation speed for Python users while reducing ongoing maintenance.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for cda-tum/mqt-qecc: Implemented fault-tolerant state preparation enhancements and color-code evaluation to advance simulation fidelity and experimental readiness. The work focused on non-deterministic FTSP synthesis, explicit idle-noise control, and optimization of constructions for flag fault-tolerant stabilizer measurements. New circuits and evaluation suites were added for d=7 square-octagon color-code state preparation, supporting robust testing and scaling.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for cda-tum/mqt-qecc: Implemented fault-tolerant state preparation enhancements and color-code evaluation to advance simulation fidelity and experimental readiness. The work focused on non-deterministic FTSP synthesis, explicit idle-noise control, and optimization of constructions for flag fault-tolerant stabilizer measurements. New circuits and evaluation suites were added for d=7 square-octagon color-code state preparation, supporting robust testing and scaling.
January 2025
1 Commits
Jan 1, 2025January 2025 - Focused on reliability and correctness of deterministic state preparation simulations in cda-tum/mqt-qecc. Delivered a critical bug fix to the simulation bounds logic by enabling fault_tolerant within the qsample protocol, ensuring accurate bounds computation for qsample protocols. This change reduces simulation risk and improves trust in protocol evaluations.
1 Commits
Jan 1, 2025January 2025 - Focused on reliability and correctness of deterministic state preparation simulations in cda-tum/mqt-qecc. Delivered a critical bug fix to the simulation bounds logic by enabling fault_tolerant within the qsample protocol, ensuring accurate bounds computation for qsample protocols. This change reduces simulation risk and improves trust in protocol evaluations.
January 2025
November 2024
3 Commits • 2 Features
Nov 1, 2024Monthly performance summary for 2024-11: Implemented automated encoding circuit synthesis for CSS stabilizer codes and expanded the codebase to support multiple quantum error-correcting code families. Refactored into a circuit_synthesis module, added optimal and heuristic synthesis paths, and created new encoding circuit files and examples. Added code concatenation and construction capabilities for Quantum Hamming, Iceberg, and Many-Hypercube codes. Updated documentation for Encoding Circuit Synthesis to improve discoverability and usage. These efforts accelerate encoder development, broaden QEC capabilities, and improve maintainability.
November 2024
3 Commits • 2 Features
Nov 1, 2024Monthly performance summary for 2024-11: Implemented automated encoding circuit synthesis for CSS stabilizer codes and expanded the codebase to support multiple quantum error-correcting code families. Refactored into a circuit_synthesis module, added optimal and heuristic synthesis paths, and created new encoding circuit files and examples. Added code concatenation and construction capabilities for Quantum Hamming, Iceberg, and Many-Hypercube codes. Updated documentation for Encoding Circuit Synthesis to improve discoverability and usage. These efforts accelerate encoder development, broaden QEC capabilities, and improve maintainability.
Activity
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Quality Metrics
Correctness92.4%
Maintainability90.4%
Architecture90.4%
Performance82.8%
AI Usage22.0%
Skills & Technologies
Programming Languages
BashC++CMakeCSSHTMLJupyter NotebookMarkdownPythonQASMShell
Technical Skills
Algorithm DesignAlgorithm ImplementationBug FixingBuild SystemsC++ DevelopmentCI/CDCircuit SynthesisClass RefactoringCode ConstructionCode ImplementationCode OptimizationCode RefactoringDependency ManagementDeprecation ManagementDocumentation
Repositories Contributed To
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