Qiskit/qiskit-ibm-runtime
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentCircuit SimulationCode RefactoringData VisualizationDocumentation
Roy Elkabetz
PROFILE
Roy Elkabetz
Roy Elkabetz developed a Circuit Scheduling Timing Visualization Tool for the Qiskit/qiskit-ibm-runtime repository, focusing on enhancing circuit scheduling analysis for quantum computing workflows. He designed and implemented an end-to-end data flow in Python, incorporating backend development and data visualization techniques to parse, preprocess, and display timing metadata from compiled circuits. This tool enables developers and users to analyze and optimize circuit scheduling, supporting performance tuning and debugging efforts. Roy’s work demonstrated depth in circuit simulation and code refactoring, aligning with business goals of reliability and efficiency in runtime execution, and delivered a targeted, well-integrated feature within a month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
969
Activity Months1
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025In October 2025, delivered a focused enhancement to Qiskit IBM Runtime: a Circuit Scheduling Timing Visualization Tool that surfaces timing metadata for compiled circuits. The tool provides parsing, preprocessing, and visualization capabilities, enabling developers and customers to analyze and optimize circuit scheduling timing, accelerating performance tuning and debugging. This aligns with business goals of reliability and efficiency in runtime execution.
1 Commits • 1 Features
Oct 1, 2025In October 2025, delivered a focused enhancement to Qiskit IBM Runtime: a Circuit Scheduling Timing Visualization Tool that surfaces timing metadata for compiled circuits. The tool provides parsing, preprocessing, and visualization capabilities, enabling developers and customers to analyze and optimize circuit scheduling timing, accelerating performance tuning and debugging. This aligns with business goals of reliability and efficiency in runtime execution.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentBackend DevelopmentCircuit SimulationCode RefactoringData VisualizationDocumentationTesting
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