Classiq/classiq-library
Oct 2025 – Nov 2025
2 Months active
Languages Used
PythonQASMJSON
Technical Skills
Jupyter NotebookPythonPython programmingalgorithm designalgorithm developmentdata analysis
tomer-itelson
PROFILE
Tomer-itelson
Tomer contributed to the Classiq/classiq-library by developing and enhancing quantum computing modules, focusing on the quantum teleportation protocol and related algorithms. Using Python, Jupyter notebooks, and QASM, Tomer implemented end-to-end features including synthesis options, robust tests, and comprehensive documentation to support reproducibility and adoption. He addressed critical bugs in quantum state representation, such as correcting mathematical expressions in amplitude estimation and fixing probability distributions in tutorials. Tomer also improved tutorial interactivity by integrating direct links to generated quantum programs. His work emphasized maintainability, code quality, and user onboarding, demonstrating depth in algorithm design and quantum programming.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
18Total
Bugs
2
Commits
18
Features
3
Lines of code
1,732
Activity Months2
Your Network
80 people
Work History
November 2025
8 Commits • 2 Features
Nov 1, 20252025-11 monthly summary for Classiq/classiq-library focusing on business value and technical achievements. Delivered core algorithm enhancements and improved developer experience: Quantum Teleportation Algorithm received consolidated enhancements including synthesis options, tests, and documentation, enhancing reliability and integration potential. Fixed a critical issue in Quantum Amplitude Estimation by correcting the mathematical expression to ensure accurate state representation, reducing downstream risk. Tutor ial notebook interactivity improved with new outputs and direct links to generated quantum programs, streamlining learning and experimentation. Overall these efforts boosted robustness, maintainability, and user onboarding while maintaining strong code quality through pre-commit hygiene improvements.
8 Commits • 2 Features
Nov 1, 20252025-11 monthly summary for Classiq/classiq-library focusing on business value and technical achievements. Delivered core algorithm enhancements and improved developer experience: Quantum Teleportation Algorithm received consolidated enhancements including synthesis options, tests, and documentation, enhancing reliability and integration potential. Fixed a critical issue in Quantum Amplitude Estimation by correcting the mathematical expression to ensure accurate state representation, reducing downstream risk. Tutor ial notebook interactivity improved with new outputs and direct links to generated quantum programs, streamlining learning and experimentation. Overall these efforts boosted robustness, maintainability, and user onboarding while maintaining strong code quality through pre-commit hygiene improvements.
November 2025
October 2025
10 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering a complete quantum teleportation protocol module within Classiq/classiq-library, with end-to-end implementation, synthesis options, notebooks, tests, and documentation. A bug in the 3-qubit probability distribution tutorial was fixed to ensure accurate state representations. The work strengthens the library's quantum workflow capabilities, provides robust validation, and includes practical examples to accelerate adoption by developers and researchers.
October 2025
10 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering a complete quantum teleportation protocol module within Classiq/classiq-library, with end-to-end implementation, synthesis options, notebooks, tests, and documentation. A bug in the 3-qubit probability distribution tutorial was fixed to ensure accurate state representations. The work strengthens the library's quantum workflow capabilities, provides robust validation, and includes practical examples to accelerate adoption by developers and researchers.
Activity
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Quality Metrics
Correctness93.4%
Maintainability87.8%
Architecture91.2%
Performance88.8%
AI Usage29.0%
Skills & Technologies
Programming Languages
JSONPythonQASM
Technical Skills
Jupyter NotebookJupyter notebooksPythonPython programmingalgorithm designalgorithm developmentalgorithm optimizationconfiguration managementdata analysisdata sciencedata visualizationdocumentationmathematicsquantum computingquantum programming
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