Qiskit/documentation
Nov 2025 – Dec 2025
2 Months active
Languages Used
PythonMarkdown
Technical Skills
Python programmingdata analysisdata scienceoptimizationoptimization algorithmsquantum computing
murilo-kipu
PROFILE
Murilo-kipu
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,717
Activity Months2
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on documenting the Kipu Iskay Quantum Optimizer in the Qiskit/documentation repo. Delivered a comprehensive documentation update introducing new preprocessing, transpilation, and postprocessing levels, including detailed guidance on transpilation levels (0-5) with max_trials, and postprocessing levels (0-2) for classical optimization. Added notes on seed_transpiler default behavior and optimization strategy. Prepared groundwork for performance benchmarks and business-value explanations. Collaboration: co-authored by abbycross. Impact: improves onboarding, reduces support overhead, and enables users to leverage advanced optimization features, aligning with the product roadmap.
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on documenting the Kipu Iskay Quantum Optimizer in the Qiskit/documentation repo. Delivered a comprehensive documentation update introducing new preprocessing, transpilation, and postprocessing levels, including detailed guidance on transpilation levels (0-5) with max_trials, and postprocessing levels (0-2) for classical optimization. Added notes on seed_transpiler default behavior and optimization strategy. Prepared groundwork for performance benchmarks and business-value explanations. Collaboration: co-authored by abbycross. Impact: improves onboarding, reduces support overhead, and enables users to leverage advanced optimization features, aligning with the product roadmap.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 delivered a production-ready Market Split tutorial using Iskay optimizer in Qiskit/documentation, covering background, problem formulation, and end-to-end implementation guidance. The work included a major refactor to align the notebook with the current Iskay solver, remove outdated benchmarks, and enhance the QUBO-to-Iskay conversion to ensure compatibility and correctness. Dependency and configuration updates were implemented (added qiskit-addon-opt-mapper; simplified Iskay configuration by removing token/instance parameters), with end-to-end validation confirming correct Iskay results on production qiskit-function. The effort also expanded documentation with mathematical explanations of the penalty method and QUBO formulation, underscoring business value through improved onboarding and reliable tooling for QDC 2025 use cases.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 delivered a production-ready Market Split tutorial using Iskay optimizer in Qiskit/documentation, covering background, problem formulation, and end-to-end implementation guidance. The work included a major refactor to align the notebook with the current Iskay solver, remove outdated benchmarks, and enhance the QUBO-to-Iskay conversion to ensure compatibility and correctness. Dependency and configuration updates were implemented (added qiskit-addon-opt-mapper; simplified Iskay configuration by removing token/instance parameters), with end-to-end validation confirming correct Iskay results on production qiskit-function. The effort also expanded documentation with mathematical explanations of the penalty method and QUBO formulation, underscoring business value through improved onboarding and reliable tooling for QDC 2025 use cases.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage33.4%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Python programmingdata analysisdata sciencedocumentationoptimizationoptimization algorithmsquantum computing
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