
Worked on the cda-tum/mqt-qecc repository, delivering advanced quantum error correction and circuit synthesis tooling. Over 11 months, developed features such as automated encoding circuit synthesis for stabilizer codes, fault-tolerant state preparation, and cat-state experiment modules, while also addressing packaging, CI, and test infrastructure. Leveraged Python and C++ for algorithm implementation, simulation, and robust error handling, with a focus on maintainability and extensibility. Enhanced the codebase by refactoring modules, optimizing test performance, and improving documentation, enabling reproducible workflows and scalable experimentation. Demonstrated expertise in quantum computing, software design, and continuous integration, supporting both research and production environments.
March 2026 (2026-03) monthly summary for cda-tum/mqt-qecc. Key feature delivered: CatStatePreparationExperiment now adds resets to input circuits, improving reliability and reproducibility of cat-state experiments (commit 41aeff8ca4e381f85837193aa57f19d30f97bbfe; PR #652). Quality uplift included added tests, updated documentation, changelog, and upgrade guidance; CI checks pass. Impact: more stable cat-state workflows and smoother upgrades, increasing user confidence in experimental results. Technologies demonstrated: Python, test-driven development, documentation practices, and CI/CD adherence.
March 2026 (2026-03) monthly summary for cda-tum/mqt-qecc. Key feature delivered: CatStatePreparationExperiment now adds resets to input circuits, improving reliability and reproducibility of cat-state experiments (commit 41aeff8ca4e381f85837193aa57f19d30f97bbfe; PR #652). Quality uplift included added tests, updated documentation, changelog, and upgrade guidance; CI checks pass. Impact: more stable cat-state workflows and smoother upgrades, increasing user confidence in experimental results. Technologies demonstrated: Python, test-driven development, documentation practices, and CI/CD adherence.
January 2026 monthly summary for the cda-tum/mqt-qecc repo: Delivered a high-distance fault-tolerant GHZ cat-state circuit construction feature and fixed a NumPy-related type errors in the synthesis utilities. The work improved circuit robustness and CI reliability, enabling scalable fault-tolerant state preparation while maintaining code quality and clear developer guidance.
January 2026 monthly summary for the cda-tum/mqt-qecc repo: Delivered a high-distance fault-tolerant GHZ cat-state circuit construction feature and fixed a NumPy-related type errors in the synthesis utilities. The work improved circuit robustness and CI reliability, enabling scalable fault-tolerant state preparation while maintaining code quality and clear developer guidance.
December 2025: Packaging stabilization for cda-tum/mqt-qecc. Implemented a sdist packaging fix by updating pyproject.toml to ensure the version file is tracked, eliminating errors due to untracked version metadata. This reduces release risk and CI churn. Also added tests for packaging behavior and updated user-facing documentation, changelog, and upgrade guidance. No new features released this month; the work strengthens the foundation for reliable releases and future feature work. Technologies demonstrated include Python packaging (pyproject.toml), Git/versioning, test automation, and documentation practices.
December 2025: Packaging stabilization for cda-tum/mqt-qecc. Implemented a sdist packaging fix by updating pyproject.toml to ensure the version file is tracked, eliminating errors due to untracked version metadata. This reduces release risk and CI churn. Also added tests for packaging behavior and updated user-facing documentation, changelog, and upgrade guidance. No new features released this month; the work strengthens the foundation for reliable releases and future feature work. Technologies demonstrated include Python packaging (pyproject.toml), Git/versioning, test automation, and documentation practices.
Performance-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.
Performance-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.
July 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 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.
For 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.
For 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.
May 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 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: 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: 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.
March 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 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 - 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 - 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.
Monthly 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.
Monthly 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.

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