Classiq/classiq-library
Dec 2025 – Jan 2026
2 Months active
Languages Used
PythonQASM
Technical Skills
Jupyter NotebookPythonPython programmingalgorithm developmentdata analysisdata science
nati-erez
PROFILE
Nati-erez
Nati contributed to the Classiq/classiq-library repository by developing quantum-enabled features for telecom resiliency planning, quantum chemistry simulations, and financial risk analysis. Using Python, QASM, and Jupyter Notebook, Nati built graph models and optimization algorithms leveraging QAOA for network planning, implemented tensor hypercontraction to accelerate chemistry computations, and updated Value at Risk calculations with iterative quantum amplitude estimation. Nati also improved code maintainability by removing legacy files and enhanced documentation accuracy, test reliability, and experiment usability through targeted refactoring and notebook development. The work demonstrated depth in quantum programming, data analysis, and algorithm development, resulting in more robust and maintainable code.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
5
Lines of code
9,931
Activity Months2
Your Network
80 people
Work History
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Classiq/classiq-library: Focused on documentation correctness, testing reliability, and quantum experiment usability improvements. Implemented corrections to documentation attachments and aligned tests with actual program depth; increased iteration count and refactored notebook to improve accuracy, clarity, and usability. These changes reduce risk, improve data validity, and enhance developer and researcher workflows.
4 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for Classiq/classiq-library: Focused on documentation correctness, testing reliability, and quantum experiment usability improvements. Implemented corrections to documentation attachments and aligned tests with actual program depth; increased iteration count and refactored notebook to improve accuracy, clarity, and usability. These changes reduce risk, improve data validity, and enhance developer and researcher workflows.
January 2026
December 2025
6 Commits • 4 Features
Dec 1, 2025Monthly summary for 2025-12 focused on Classiq/classiq-library with a business-value and technical-achievements lens. The month delivered notable quantum-enabled features, performance improvements, and codebase maintainability gains that positively impact product capabilities and long-term stability.
December 2025
6 Commits • 4 Features
Dec 1, 2025Monthly summary for 2025-12 focused on Classiq/classiq-library with a business-value and technical-achievements lens. The month delivered notable quantum-enabled features, performance improvements, and codebase maintainability gains that positively impact product capabilities and long-term stability.
Activity
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Quality Metrics
Correctness86.0%
Maintainability82.0%
Architecture84.0%
Performance88.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
PythonQASM
Technical Skills
Jupyter NotebookPythonPython programmingalgorithm developmentdata analysisdata sciencedata visualizationdocumentationgraph theorynotebook developmentoptimizationoptimization algorithmsquantum computingquantum programmingtesting
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