Infleqtion/qLDPC
Jan 2025 – Jan 2025
1 Month active
Languages Used
Python
Technical Skills
Algorithm ImplementationAlgorithm OptimizationBug FixingGraph AlgorithmsGraph TheoryNetworkX
Jeffrey Larson
PROFILE
Jeffrey Larson
Worked on the Infleqtion/qLDPC repository to enhance the qubit placement workflow by optimizing the underlying graph algorithms for both performance and correctness. Leveraged Python, NetworkX, and NumPy to implement specialized bipartite matching, precompute distances during placement graph construction, and vectorize distance calculations for improved speed and accuracy. Addressed a critical bug by introducing connectivity checks and per-component handling, ensuring the bipartite algorithm produced correct results even on disconnected graphs. Documented all changes thoroughly to support future development and debugging. These improvements increased the robustness and scalability of qubit placement, particularly in sparse or disconnected network scenarios.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
83
Activity Months1
Your Network
58 peopleSame Organization
@anl.gov47
Shared Repositories
11
Work History
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary highlighting delivery and impact for Infleqtion/qLDPC. Focused on performance-oriented improvements to the qubit placement workflow and a critical correctness fix in the bipartite algorithm, driving faster, more accurate placements and greater robustness for disconnected graph components.
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary highlighting delivery and impact for Infleqtion/qLDPC. Focused on performance-oriented improvements to the qubit placement workflow and a critical correctness fix in the bipartite algorithm, driving faster, more accurate placements and greater robustness for disconnected graph components.
January 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability90.0%
Architecture85.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationAlgorithm OptimizationBug FixingGraph AlgorithmsGraph TheoryNetworkXNumerical ComputingPerformance ImprovementScientific Computing
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