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eyal-cornfeld

PROFILE

Eyal-cornfeld

Contributed to the Classiq/classiq-library by developing and refining a suite of quantum computing educational resources and tutorials. Focused on Jupyter Notebook and Python, the work included updating quantum algorithm workshops, such as MaxCut and Grover’s algorithm, and enhancing financial modeling notebooks with improved execution clarity and reproducibility. Implemented iterative quantum amplitude estimation for option pricing and introduced robust tooling, including a module timeout configuration for resource management. Delivered comprehensive educational notebooks simulating the quantum double slit experiment, emphasizing visualization and quantum-classical comparisons. The approach prioritized clean, commit-driven workflows and reproducible results, supporting both practical pedagogy and advanced quantum computing demonstrations.

Overall Statistics

Feature vs Bugs

88%Features

Repository Contributions

14Total
Bugs
1
Commits
14
Features
7
Lines of code
5,651
Activity Months2

Your Network

84 people

Work History

December 2025

4 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary for Classiq/classiq-library focused on delivering a flagship educational feature set and establishing robust tooling for classroom use. The primary deliverable was the Quantum Double Slit Experiment Educational Notebooks, complemented by a configurable module timeout to improve robustness and resource management. The work emphasizes reproducibility, visualization, and practical pedagogy for quantum experiments while maintaining a clean, commit-driven workflow.

June 2025

10 Commits • 6 Features

Jun 1, 2025

June 2025 performance highlights for Classiq-library focused on delivering value through targeted notebook updates, deprecation cleanup, and refinements across core quantum-enabled tutorials. The efforts improved educational clarity, reproducibility, and alignment with current quantum algorithms and synthesis workflows, enabling faster learning and more accurate demonstrations for users and customers.

Activity

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Quality Metrics

Correctness91.4%
Maintainability88.6%
Architecture88.6%
Performance83.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPythonQiskitYAML

Technical Skills

Algorithm DevelopmentAlgorithm ImplementationClassiq PlatformFinancial ModelingJupyter NotebookJupyter NotebooksNotebook DevelopmentOptimizationOption PricingPythonQiskitQmodQuantum ComputingTestingdata analysis

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Classiq/classiq-library

Jun 2025 Dec 2025
2 Months active

Languages Used

Jupyter NotebookPythonQiskitYAML

Technical Skills

Algorithm DevelopmentAlgorithm ImplementationClassiq PlatformFinancial ModelingJupyter NotebookJupyter Notebooks