Classiq/classiq-library
Aug 2025 – Jan 2026
2 Months active
Languages Used
MarkdownPythonQ#QASM
Technical Skills
DocumentationJupyter notebooksQ# programmingalgorithm designcode formattingcode linting
liorgazit
PROFILE
Liorgazit
Contributed to the Classiq/classiq-library by developing and enhancing quantum algorithms and improving documentation to streamline onboarding and experimentation. Delivered features such as Simon Algorithm refinements, a native Hidden Shift implementation using Bent Boolean Functions, and a Shor’s Algorithm solver for discrete logarithms, focusing on code clarity and maintainability. Improved the Swap Test by refactoring amplitude handling and addressed documentation readability, including an AI Agents Integration Guide in the README. Worked primarily with Python, Q#, and Markdown, applying skills in algorithm design, code linting, and cryptography to ensure high-quality, well-documented code that supports both new and experienced contributors.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
5
Lines of code
232
Activity Months2
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84 peopleShared Repositories
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Work History
January 2026
12 Commits • 4 Features
Jan 1, 2026January 2026 focused on delivering high-value algorithmic features in the Classiq library with emphasis on code quality, documentation, and maintainability. Feature work spanned Simon Algorithm enhancements, Hidden Shift with Bent Boolean Functions, Shor's Algorithm for Discrete Logarithm, and Swap Test improvements. Maintenance work included lint and readability improvements and targeted cleanup to support reliable experimentation and onboarding for users and contributors.
12 Commits • 4 Features
Jan 1, 2026January 2026 focused on delivering high-value algorithmic features in the Classiq library with emphasis on code quality, documentation, and maintainability. Feature work spanned Simon Algorithm enhancements, Hidden Shift with Bent Boolean Functions, Shor's Algorithm for Discrete Logarithm, and Swap Test improvements. Maintenance work included lint and readability improvements and targeted cleanup to support reliable experimentation and onboarding for users and contributors.
January 2026
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Classiq/library focusing on documentation improvements and onboarding quality. Delivered a new AI Agents Integration Guide in the README and addressed documentation readability issues, contributing to smoother AI integration and faster developer onboarding.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Classiq/library focusing on documentation improvements and onboarding quality. Delivered a new AI Agents Integration Guide in the README and addressed documentation readability issues, contributing to smoother AI integration and faster developer onboarding.
Activity
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Quality Metrics
Correctness98.6%
Maintainability94.2%
Architecture98.6%
Performance94.2%
AI Usage25.8%
Skills & Technologies
Programming Languages
MarkdownPythonQ#QASM
Technical Skills
DocumentationJupyter notebooksQ# programmingalgorithm designcode formattingcode lintingcommenting and documentationcryptographydata sciencedocumentationquantum computing
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