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
Roy Elkabetz enhanced circuit schedule visualization in the Qiskit/qiskit-ibm-runtime repository, focusing on features that improve clarity and developer efficiency. He implemented dynamic annotation box positioning based on channel count and expanded input flexibility for visualization functions, allowing both string and CircuitSchedule object types. Roy also introduced user-driven channel reordering and merging of common consecutive instructions, reducing visual clutter and accelerating debugging. His work emphasized maintainability through comprehensive unit testing, updated documentation, and detailed release notes. Using Python and leveraging skills in algorithm design and data visualization, Roy delivered targeted, well-tested improvements that streamline circuit analysis for developers and researchers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
194
Activity Months2
Your Network
930 peopleSame Organization
@ibm.com913
Arun VMember
Aayush-PanchalMember
Abhijit DeokarMember
Abhina SreeMember
Abhishek Kr SrivastavMember
Abraham Lara GranadosMember
Adarsh AgrawalMember
aditi-panditMember
Aditi SrinivasMember
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline