Classiq/classiq-library
Dec 2025 – Dec 2025
1 Month active
Languages Used
JSONPythonQASM
Technical Skills
Jupyter NotebookJupyter notebooksPythonPython programmingalgorithm optimizationasynchronous programming
barak
PROFILE
Barak
Barak contributed to the Classiq/classiq-library repository by developing the Quantum Image Edge Detection (QIED) feature, which applies QPIE-based edge detection with image normalization and encoding into quantum states. He implemented this using Python and QASM, integrating robust module structure, metadata management, and comprehensive tests. Barak also addressed reliability issues in the edge detection workflow, resolving timeouts, uncomputation, and output accuracy concerns. Additionally, he launched the Hamming Weights Workshop, creating educational content and notebooks to support quantum circuit synthesis. His work demonstrated depth in quantum programming, data analysis, and notebook testing, resulting in improved stability and clarity for users.
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
80 people
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
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