qiboteam/qibo
May 2025 – Jul 2025
3 Months active
Languages Used
Python
Technical Skills
Algorithm ImplementationCircuit DesignQuantum ComputingCode CoveragePythonTesting
joan-ainaud
PROFILE
Joan-ainaud
Joan Enofonde contributed to the qiboteam/qibo repository by developing advanced quantum circuit features, including Dicke state generation with both simple and all-to-all connectivity, and extending the Weight Distribution Block gate for broader applicability in quantum simulations. Using Python and leveraging skills in algorithm implementation, circuit design, and linear algebra, Joan unified APIs, refactored gate construction, and improved disjoint-set handling to enhance correctness and scalability. She also strengthened code reliability by adding comprehensive unit tests and addressing coverage gaps. Her work on unitary decomposition improved accuracy and robustness, consolidating corrections across modules to ensure consistent, maintainable quantum computing functionality.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
3
Lines of code
1,203
Activity Months3
Work History
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025: Key contributions include (1) Unitary Decomposition: Accuracy and Robustness Improvements across psi calculation, diagonal components, and unitary decomposition, incorporating proper handling of phase factors, symmetries, and edge cases; refactors to consolidate corrections across calculate_psi, calculate_diagonal, and unitary_decompositions for a more robust, correct decomposition. (2) Test Suite Enhancement for iSWAP and Common Two-Qubit Gates: Integrated iSWAP testing into the general two-qubit gate decomposition tests and removed a failing dedicated test case, improving test coverage and reliability. (3) Consolidated Corrections: Centralized fixes across modules to ensure consistency in unitary decomposition results and edge-case behavior.
4 Commits • 1 Features
Jul 1, 2025July 2025: Key contributions include (1) Unitary Decomposition: Accuracy and Robustness Improvements across psi calculation, diagonal components, and unitary decomposition, incorporating proper handling of phase factors, symmetries, and edge cases; refactors to consolidate corrections across calculate_psi, calculate_diagonal, and unitary_decompositions for a more robust, correct decomposition. (2) Test Suite Enhancement for iSWAP and Common Two-Qubit Gates: Integrated iSWAP testing into the general two-qubit gate decomposition tests and removed a failing dedicated test case, improving test coverage and reliability. (3) Consolidated Corrections: Centralized fixes across modules to ensure consistency in unitary decomposition results and edge-case behavior.
July 2025
June 2025
4 Commits • 1 Features
Jun 1, 2025Month 2025-06 performance summary for qiboteam/qibo: - Key features delivered: Implemented all-to-all connectivity option for Dicke state preparation and extended the Weight Distribution Block (WBD) gate to handle the last k qubits. This included refactoring of gate construction and disjoint-set handling to improve correctness and scalability. Added tests for _add_wbd_gate and related coverage improvements to ensure long-term reliability. - Major bugs fixed: Stabilized test coverage by addressing coverage gaps and achieving full coverage for the WBD gate-related code path; fixed issues uncovered during review to align with the updated Dicke state implementation. - Overall impact and accomplishments: Expanded hardware-aware circuit capability (Dicke states) with broader connectivity options, enhancing applicability in larger qubit systems. Improved code quality, test reliability, and maintainability through refactors and comprehensive testing, reducing regression risk for future changes. - Technologies/skills demonstrated: Python, gate construction and optimization, refactoring, test-driven development, code review collaboration, and robust test coverage strategies.
June 2025
4 Commits • 1 Features
Jun 1, 2025Month 2025-06 performance summary for qiboteam/qibo: - Key features delivered: Implemented all-to-all connectivity option for Dicke state preparation and extended the Weight Distribution Block (WBD) gate to handle the last k qubits. This included refactoring of gate construction and disjoint-set handling to improve correctness and scalability. Added tests for _add_wbd_gate and related coverage improvements to ensure long-term reliability. - Major bugs fixed: Stabilized test coverage by addressing coverage gaps and achieving full coverage for the WBD gate-related code path; fixed issues uncovered during review to align with the updated Dicke state implementation. - Overall impact and accomplishments: Expanded hardware-aware circuit capability (Dicke states) with broader connectivity options, enhancing applicability in larger qubit systems. Improved code quality, test reliability, and maintainability through refactors and comprehensive testing, reducing regression risk for future changes. - Technologies/skills demonstrated: Python, gate construction and optimization, refactoring, test-driven development, code review collaboration, and robust test coverage strategies.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Dicke state generation capabilities for qibo, expanding quantum state preparation options with simple and advanced all-to-all connectivity variants. Implemented a unified API, added docstrings and unit tests to ensure correctness and usability, and prepared the feature for broader adoption in quantum simulations.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Dicke state generation capabilities for qibo, expanding quantum state preparation options with simple and advanced all-to-all connectivity variants. Implemented a unified API, added docstrings and unit tests to ensure correctness and usability, and prepared the feature for broader adoption in quantum simulations.
May 2025
Activity
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Quality Metrics
Correctness87.8%
Maintainability82.2%
Architecture80.0%
Performance71.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationAlgorithm RefinementCircuit DesignCode CoverageCode RefactoringGate DecompositionLinear AlgebraPythonQuantum ComputingTestingUnit Testing
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