qua-platform/qua-libs
Mar 2026 – Apr 2026
2 Months active
Languages Used
Python
Technical Skills
Pythondata analysisquantum computingPython programmingcalibration techniquesdata visualization
Tomer-Firon
PROFILE
Tomer-firon
Tomer Firon contributed to qua-platform/qua-libs by developing a global qubit alignment utility and delivering targeted bug fixes to enhance quantum calibration workflows. He implemented a Python-based align() function to synchronize qubits during multiplexed execution, improving timing coherence and reducing errors in T1 and T2 experiments. Tomer also corrected idle time calculations and visualization units, ensuring accurate data analysis and more reliable experiment scheduling. His work involved calibration techniques, data visualization, and quantum programming, with careful attention to code clarity and maintainability. These contributions increased the reliability and throughput of quantum experiments, reflecting a strong grasp of scientific computing challenges.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
14
Activity Months2
Your Network
22 peopleShared Repositories
6
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 In qua-platform/qua-libs, delivered two high-impact updates and fixed a key data-visualization bug, driving improved timing coherence for multiplexed qubit operations and more reliable analytics. Key features delivered - Global Qubit Alignment Utility: added a global align() function to synchronize qubits during multiplexed execution, improving timing coherence after reset, after manipulation+wait, and after readout for multiplexed T1 workflows. Included explanatory comments clarifying the purpose of alignment barriers. (Commit 13e688c3ba1706ce26479c075b49af3f6ecc6eb6) - Plot Idle Time Unit Correction: corrected the unit of measurement in the plotting function from microseconds to nanoseconds to ensure accurate idle-time visualization and reliable graphs. (Commit 826b628ec1e2ac78853cc130aea45a8124d7a0bf) Major bugs fixed - Idle-time plotting unit inconsistency resolved by switching to nanoseconds, eliminating data misinterpretation in idle-time graphs. (Commit 826b628ec1e2ac78853cc130aea45a8124d7a0bf) (#507) - Documentation/comments updated to clarify the rationale for multiplex align barriers, improving maintainability and future audits. (Commit 13e688c3ba1706ce26479c075b49af3f6ecc6eb6) (#476) Overall impact and accomplishments - Increased reliability and predictability of multiplexed quantum experiments through synchronized qubit alignment, reducing timing-related errors in T1 multiplex workflows. - Improved data integrity and visualization accuracy, enabling faster interpretation of idle times and better decision-making for experiments and scheduling. - Clearer code intent and maintainability via targeted documentation comments around alignment barriers and multiplexed alignment behavior. Technologies/skills demonstrated - Python/Qua-libs development, time-unit handling, and alignment barrier concepts in multiplexed quantum control - Code documentation and commit hygiene; data-visualization accuracy; debugging of timing-sensitive features. Business value - Higher experiment throughput and reliability due to guaranteed qubit synchronization in multiplexed runs, and more trustworthy analytics from corrected idle-time plots, enabling faster iteration cycles and better scientific/engineering decisions.
2 Commits • 1 Features
Apr 1, 2026Month: 2026-04 In qua-platform/qua-libs, delivered two high-impact updates and fixed a key data-visualization bug, driving improved timing coherence for multiplexed qubit operations and more reliable analytics. Key features delivered - Global Qubit Alignment Utility: added a global align() function to synchronize qubits during multiplexed execution, improving timing coherence after reset, after manipulation+wait, and after readout for multiplexed T1 workflows. Included explanatory comments clarifying the purpose of alignment barriers. (Commit 13e688c3ba1706ce26479c075b49af3f6ecc6eb6) - Plot Idle Time Unit Correction: corrected the unit of measurement in the plotting function from microseconds to nanoseconds to ensure accurate idle-time visualization and reliable graphs. (Commit 826b628ec1e2ac78853cc130aea45a8124d7a0bf) Major bugs fixed - Idle-time plotting unit inconsistency resolved by switching to nanoseconds, eliminating data misinterpretation in idle-time graphs. (Commit 826b628ec1e2ac78853cc130aea45a8124d7a0bf) (#507) - Documentation/comments updated to clarify the rationale for multiplex align barriers, improving maintainability and future audits. (Commit 13e688c3ba1706ce26479c075b49af3f6ecc6eb6) (#476) Overall impact and accomplishments - Increased reliability and predictability of multiplexed quantum experiments through synchronized qubit alignment, reducing timing-related errors in T1 multiplex workflows. - Improved data integrity and visualization accuracy, enabling faster interpretation of idle times and better decision-making for experiments and scheduling. - Clearer code intent and maintainability via targeted documentation comments around alignment barriers and multiplexed alignment behavior. Technologies/skills demonstrated - Python/Qua-libs development, time-unit handling, and alignment barrier concepts in multiplexed quantum control - Code documentation and commit hygiene; data-visualization accuracy; debugging of timing-sensitive features. Business value - Higher experiment throughput and reliability due to guaranteed qubit synchronization in multiplexed runs, and more trustworthy analytics from corrected idle-time plots, enabling faster iteration cycles and better scientific/engineering decisions.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for qua-platform/qua-libs focused on stabilizing quantum measurement calibration. Delivered a critical bug fix correcting idle time calculations for Echo Wait Times in T2 echo measurements, accompanied by code-quality improvements and visualization updates. The changes increase calibration precision and reliability, reducing measurement noise and enabling faster, more confident iteration in downstream experiments. Collaborative effort with TheoLaudatQM (co-authored).
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for qua-platform/qua-libs focused on stabilizing quantum measurement calibration. Delivered a critical bug fix correcting idle time calculations for Echo Wait Times in T2 echo measurements, accompanied by code-quality improvements and visualization updates. The changes increase calibration precision and reliability, reducing measurement noise and enabling faster, more confident iteration in downstream experiments. Collaborative effort with TheoLaudatQM (co-authored).
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Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingcalibration techniquesdata analysisdata visualizationquantum computingquantum programmingscientific computing
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