
Worked on the Infleqtion/qLDPC repository to enhance the reliability of Stim-based quantum circuit scheduling. Addressed a critical bug by introducing logic that prevents the merging of scheduled gate layers, ensuring controlled-Pauli gates are always followed by a TICK instruction. Developed a dedicated testing helper and expanded the test suite to validate this new scheduling behavior, meeting SuperstaQ coverage requirements. Applied repository-wide formatting updates to maintain code consistency and quality. Leveraged Python for both implementation and testing, with a focus on low-level circuit scheduling, robust test automation, and maintaining high standards of code hygiene throughout the project.
March 2026 (2026-03) monthly summary for Infleqtion/qLDPC: Focused on strengthening Stim-based circuit reliability and test coverage. Delivered a critical Stim Circuit Scheduling Integrity fix to prevent merging of scheduled gate layers, ensuring controlled-Pauli gates are followed by a TICK instruction. Implemented a testing helper to validate this behavior and extended tests to satisfy SuperstaQ coverage. Also applied required repository formatting to maintain code quality and consistency across the project. Impact: reduces circuit timing hazards, improves experimental reliability, and enables more accurate benchmarking for quantum-error-correction workflows. Technologies/skills demonstrated: low-level circuit scheduling, robust testing strategies, test automation, Python tooling, and repository hygiene.
March 2026 (2026-03) monthly summary for Infleqtion/qLDPC: Focused on strengthening Stim-based circuit reliability and test coverage. Delivered a critical Stim Circuit Scheduling Integrity fix to prevent merging of scheduled gate layers, ensuring controlled-Pauli gates are followed by a TICK instruction. Implemented a testing helper to validate this behavior and extended tests to satisfy SuperstaQ coverage. Also applied required repository formatting to maintain code quality and consistency across the project. Impact: reduces circuit timing hazards, improves experimental reliability, and enables more accurate benchmarking for quantum-error-correction workflows. Technologies/skills demonstrated: low-level circuit scheduling, robust testing strategies, test automation, Python tooling, and repository hygiene.

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