Classiq/classiq-library
Apr 2025 – Sep 2025
2 Months active
Languages Used
PythonQModQiskitJSON
Technical Skills
Algorithm ImplementationCode FormattingPython ScriptingQuantum ComputingConfiguration Management
Lior-Preminger
PROFILE
Lior-preminger
Lior worked on the Classiq/classiq-library repository, focusing on improving the reliability and maintainability of quantum computing workflows. Over two months, he addressed three bugs by refining algorithm implementation and configuration management using Python and JSON. His contributions included normalizing input data for quantum state preparation routines and correcting array formatting in the HHL Lanchester model, which reduced runtime errors and improved code reproducibility. Additionally, Lior performed a large-scale cleanup of synthesis option files, removing invalid fields to prevent parse-time errors. These targeted changes enhanced the stability of quantum simulations and ensured adherence to code quality standards across the library.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
3Total
Bugs
3
Commits
3
Features
0
Lines of code
208
Activity Months2
Your Network
80 people
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on data-cleanup to improve reliability of synthesis constraint handling in Classiq library. Delivered a targeted bug fix CLS-4163 by removing the empty max_gate_count field across 60 synthesis_options.json files, preserving other constraint fields and the JSON structure.
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on data-cleanup to improve reliability of synthesis constraint handling in Classiq library. Delivered a targeted bug fix CLS-4163 by removing the empty max_gate_count field across 60 synthesis_options.json files, preserving other constraint fields and the JSON structure.
September 2025
April 2025
2 Commits
Apr 1, 2025April 2025: Bug fixes in Classiq/classiq-library focused on reliability of quantum simulations and code quality. Delivered input normalization for prepare_amplitudes and a formatting fix in the HHL Lanchester model. These changes reduce runtime errors, improve reproducibility, and align with standards for maintainable code.
April 2025
2 Commits
Apr 1, 2025April 2025: Bug fixes in Classiq/classiq-library focused on reliability of quantum simulations and code quality. Delivered input normalization for prepare_amplitudes and a formatting fix in the HHL Lanchester model. These changes reduce runtime errors, improve reproducibility, and align with standards for maintainable code.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPythonQModQiskit
Technical Skills
Algorithm ImplementationCode FormattingConfiguration ManagementPython ScriptingQuantum Computing
Repositories Contributed To
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