Classiq/classiq-library
Dec 2025 – Dec 2025
1 Month active
Languages Used
JSONPythonQASM
Technical Skills
Jupyter NotebookJupyter notebooksPythonPython programmingalgorithm optimizationasynchronous programming
barak
PROFILE
Barak
Contributed to the Classiq/classiq-library repository by developing a Quantum Image Edge Detection feature that applies QPIE-based edge detection, image normalization, and encoding into quantum states. Enhanced the module with comprehensive tests, metadata, and documentation, while addressing reliability through fixes for timeouts, uncomputation, and output accuracy. Introduced a Hamming Weights Workshop module to support educational content, including new Jupyter notebooks and robust synthesis workflows. Improved error handling and notebook clarity, ensuring stable execution and maintainability. Leveraged Python, QASM, and Jupyter Notebook to optimize algorithms, manage metadata, and facilitate quantum circuit synthesis, focusing on both technical depth and educational usability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
2
Lines of code
21,167
Activity Months1
Your Network
84 peopleShared Repositories
52
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Work History
December 2025
16 Commits • 2 Features
Dec 1, 2025December 2025 (Month: 2025-12) monthly summary for Classiq/classiq-library: Delivered Quantum Image Edge Detection (QIED) feature with QPIE-based edge detection, image normalization, and encoding into quantum states; added module, metadata, tests, and documentation enhancements. Implemented Edge Detection reliability and stability fixes addressing timeouts, uncomputation, output accuracy, and cleanup. Launched Hamming Weights Workshop: new module, tests, notebooks, and metadata to support educational workshops. Achieved robustness improvements for workshop synthesis and timeout handling, plus test and metadata improvements.
16 Commits • 2 Features
Dec 1, 2025December 2025 (Month: 2025-12) monthly summary for Classiq/classiq-library: Delivered Quantum Image Edge Detection (QIED) feature with QPIE-based edge detection, image normalization, and encoding into quantum states; added module, metadata, tests, and documentation enhancements. Implemented Edge Detection reliability and stability fixes addressing timeouts, uncomputation, output accuracy, and cleanup. Launched Hamming Weights Workshop: new module, tests, notebooks, and metadata to support educational workshops. Achieved robustness improvements for workshop synthesis and timeout handling, plus test and metadata improvements.
December 2025
Activity
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Quality Metrics
Correctness86.2%
Maintainability85.0%
Architecture85.0%
Performance86.2%
AI Usage35.0%
Skills & Technologies
Programming Languages
JSONPythonQASM
Technical Skills
Jupyter NotebookJupyter notebooksPythonPython programmingalgorithm optimizationasynchronous programmingdata analysisdata sciencedata visualizationeducational content developmenterror handlingimage processingmetadata managementnotebook testingquantum circuit synthesis
Repositories Contributed To
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