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
During January 2025, Jacob Larson enhanced the Infleqtion/qLDPC repository by optimizing the qubit placement workflow for quantum error correction. He restructured the placement algorithm to use specialized bipartite matching, precomputed distances during graph construction, and leveraged NumPy-based vectorization to accelerate numerical calculations. Addressing correctness, Jacob fixed a critical bug by introducing connectivity checks and per-component handling, ensuring accurate communication distance calculations even for disconnected graphs. His work, implemented in Python with NetworkX and NumPy, improved both performance and robustness. The depth of these changes increased scalability and reliability, supporting future development and more accurate quantum circuit placements.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
83
Activity Months1
Your Network
51 people
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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