iqm-finland/iqm-benchmarks
Jan 2025 – Jan 2025
1 Month active
Languages Used
JSONPythonreStructuredText
Technical Skills
BenchmarkingDocumentationPythonQuantum Computing
NadiaMil
PROFILE
Nadiamil
Nadim Ilaz developed and delivered the Spark benchmarking feature for the iqm-finland/iqm-benchmarks repository, focusing on enabling reproducible quantum device benchmarks. He created a new Jupyter notebook in Python that provides detailed instructions and runnable code for benchmarking the IQM Spark system, addressing both user onboarding and developer workflow needs. Nadim restructured the documentation, adding a dedicated devices section and updating the changelog to reflect these enhancements. His work leveraged skills in benchmarking, documentation tooling, and quantum computing, resulting in a well-integrated feature that supports transparent performance evaluation and improves the accessibility of quantum benchmarking for the Spark device.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
806
Activity Months1
Your Network
7 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance update for iqm-benchmarks: Delivered the Spark benchmarking feature with documentation and runnable notebook, updated docs structure, and changelog. No major bug fixes this month. The work enables reproducible benchmarks for the Spark device and strengthens onboarding for users and developers. Key tech: Python/Jupyter notebooks, documentation tooling, and changelog management.
1 Commits • 1 Features
Jan 1, 2025January 2025 performance update for iqm-benchmarks: Delivered the Spark benchmarking feature with documentation and runnable notebook, updated docs structure, and changelog. No major bug fixes this month. The work enables reproducible benchmarks for the Spark device and strengthens onboarding for users and developers. Key tech: Python/Jupyter notebooks, documentation tooling, and changelog management.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPythonreStructuredText
Technical Skills
BenchmarkingDocumentationPythonQuantum Computing
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