Qiskit/qiskit-ibm-runtime
Oct 2025 – Dec 2025
2 Months active
Languages Used
Python
Technical Skills
Python programmingdata visualizationsoftware developmentunit testingalgorithm design
Roy Elkabetz
PROFILE
Roy Elkabetz
Worked on circuit schedule visualization enhancements in the Qiskit/qiskit-ibm-runtime repository, focusing on improving clarity and flexibility for developers and researchers. Developed features in Python that enabled dynamic annotation box positioning based on channel count and expanded input support for visualization functions to accept both strings and CircuitSchedule objects. Introduced user-driven channel reordering and efficient merging of common consecutive instructions, reducing visual clutter and accelerating circuit interpretation. Emphasized maintainability by adding comprehensive unit tests, updating documentation, and maintaining clear release notes. The work demonstrated strong skills in Python programming, algorithm design, data visualization, and software development best practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
194
Activity Months2
Your Network
1099 peopleSame Organization
@ibm.com1077
Arun VMember
Aayush-PanchalMember
Aayush KumarMember
Abdallah AbdelaalMember
Abhijit DeokarMember
Abhina SreeMember
Abhishek KumarMember
Abhishek Kr SrivastavMember
Abraham Lara GranadosMember
Shared Repositories
22
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Delivered targeted improvements to circuit schedule visualization in Qiskit/qiskit-ibm-runtime, focusing on user-driven channel ordering and efficient merging of common consecutive instructions. Implemented with dedicated unit tests, release notes, and documentation updates to ensure reliability, maintainability, and clear communication of changes. The updates reduce visual clutter, accelerate interpretation of circuit schedules, and enhance debugging efficiency for developers and researchers. Demonstrated strong skills in feature delivery, testing, and release hygiene across the repository.
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Delivered targeted improvements to circuit schedule visualization in Qiskit/qiskit-ibm-runtime, focusing on user-driven channel ordering and efficient merging of common consecutive instructions. Implemented with dedicated unit tests, release notes, and documentation updates to ensure reliability, maintainability, and clear communication of changes. The updates reduce visual clutter, accelerate interpretation of circuit schedules, and enhance debugging efficiency for developers and researchers. Demonstrated strong skills in feature delivery, testing, and release hygiene across the repository.
December 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 - Qiskit/qiskit-ibm-runtime: Focused on delivering circuit schedule visualization enhancements and input flexibility to improve debugging, scheduling clarity, and integration workflows. Completed feature work with two commits that dynamically position annotation boxes based on the number of channels and enable input type support for draw_circuit_schedule_timing (string or CircuitSchedule object). Added unit tests and release notes to support maintainability and release readiness. No major bug fixes documented this month; emphasis was on feature delivery and developer productivity.
October 2025
2 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 - Qiskit/qiskit-ibm-runtime: Focused on delivering circuit schedule visualization enhancements and input flexibility to improve debugging, scheduling clarity, and integration workflows. Completed feature work with two commits that dynamically position annotation boxes based on the number of channels and enable input type support for draw_circuit_schedule_timing (string or CircuitSchedule object). Added unit tests and release notes to support maintainability and release readiness. No major bug fixes documented this month; emphasis was on feature delivery and developer productivity.
Activity
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Quality Metrics
Correctness100.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python programmingalgorithm designdata visualizationsoftware developmentunit testing
Repositories Contributed To
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