pasqal-io/qadence
Oct 2024 – Jun 2025
8 Months active
Languages Used
JinjaMarkdownPythonC++TOMLSQLPytestYAML
Technical Skills
API DesignDocumentationQuantum ComputingSoftware EngineeringTestingAlgorithm Refactoring
chMoussa
PROFILE
Chmoussa
Charles Moussa contributed to the pasqal-io/qadence repository by developing and refining core features for quantum circuit simulation and differentiable programming. He engineered robust noise modeling tools, expanded density matrix support, and enhanced automatic differentiation workflows, enabling more realistic and flexible quantum simulations. His work involved refactoring backend APIs, improving parameter handling, and optimizing performance for state analytics and testing. Using Python, PyTorch, and C++, Charles addressed complex challenges in quantum state representation, backend integration, and code maintainability. His engineering demonstrated depth through targeted bug fixes, comprehensive documentation, and scalable design, resulting in a more reliable and extensible simulation platform.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
27Total
Bugs
5
Commits
27
Features
18
Lines of code
5,214
Activity Months8
Your Network
23 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for repo pasqal-io/qadence. Focused on code quality and API consistency. Key deliverable: code refactor to standardize workload spec naming across pasqal_cloud_connection without changing behavior. This lays groundwork for easier maintenance and future feature work.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for repo pasqal-io/qadence. Focused on code quality and API consistency. Key deliverable: code refactor to standardize workload spec naming across pasqal_cloud_connection without changing behavior. This lays groundwork for easier maintenance and future feature work.
June 2025
May 2025
5 Commits • 3 Features
May 1, 2025May 2025 monthly summary for pasqal-io/qadence: Delivered significant feature work around differentiable quantum modeling and state analytics, with stability enhancements and comprehensive documentation updates. Highlights include: separate parameter handling for automatic differentiation (AD) with dedicated trainability controls; density matrix utilities for state analysis accompanied by unit tests; and maintenance work with dependency upgrades plus agpsr documentation to support differentiability workflows. No major bugs reported this month; overall impact includes improved gradient accuracy and fidelity in state analysis, stronger backend trainability controls, and smoother developer onboarding through updated docs. Technologies demonstrated include Python-based AD integration, quantum modeling backend interactions, density-matrix math, unit testing, and dependency management.
May 2025
5 Commits • 3 Features
May 1, 2025May 2025 monthly summary for pasqal-io/qadence: Delivered significant feature work around differentiable quantum modeling and state analytics, with stability enhancements and comprehensive documentation updates. Highlights include: separate parameter handling for automatic differentiation (AD) with dedicated trainability controls; density matrix utilities for state analysis accompanied by unit tests; and maintenance work with dependency upgrades plus agpsr documentation to support differentiability workflows. No major bugs reported this month; overall impact includes improved gradient accuracy and fidelity in state analysis, stronger backend trainability controls, and smoother developer onboarding through updated docs. Technologies demonstrated include Python-based AD integration, quantum modeling backend interactions, density-matrix math, unit testing, and dependency management.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (Month: 2025-04) performance snapshot for pasqal-io/qadence. Delivered enhancements to the Adjoint Differentiation workflow and fixed critical GPSR differentiation bugs, improving reliability and expanding use cases for optimization on quantum circuits.
2 Commits • 1 Features
Apr 1, 2025April 2025 (Month: 2025-04) performance snapshot for pasqal-io/qadence. Delivered enhancements to the Adjoint Differentiation workflow and fixed critical GPSR differentiation bugs, improving reliability and expanding use cases for optimization on quantum circuits.
April 2025
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for pasqal-io/qadence. Delivered a focused refactor to honor off flags for checkpointing and metrics writing, aligning runtime behavior with user configuration and reducing unnecessary work. The change prevents saving checkpoints and writing metrics when the respective flags are disabled, improving efficiency and predictability in production workloads.
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary for pasqal-io/qadence. Delivered a focused refactor to honor off flags for checkpointing and metrics writing, aligning runtime behavior with user configuration and reducing unnecessary work. The change prevents saving checkpoints and writing metrics when the respective flags are disabled, improving efficiency and predictability in production workloads.
February 2025
5 Commits • 4 Features
Feb 1, 2025Concise February 2025 (2025-02) monthly summary for pasqal-io/qadence focused on delivering tangible business value through improved reliability, performance, and developer experience. The month saw targeted fixes and feature enhancements across block_to_tensor, QNN representation, parametric blocks, and testing coverage, aligning with scalable quantum modeling and robust backend support.
5 Commits • 4 Features
Feb 1, 2025Concise February 2025 (2025-02) monthly summary for pasqal-io/qadence focused on delivering tangible business value through improved reliability, performance, and developer experience. The month saw targeted fixes and feature enhancements across block_to_tensor, QNN representation, parametric blocks, and testing coverage, aligning with scalable quantum modeling and robust backend support.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered density-matrix support and performance optimizations to qadence, delivering broader quantum-state initialization capabilities, faster feedback loops, and more realistic simulations. The changes improve business value by enabling more accurate noise/instrumentation modeling and reducing CI/runtime costs, accelerating development cycles and user adoption.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered density-matrix support and performance optimizations to qadence, delivering broader quantum-state initialization capabilities, faster feedback loops, and more realistic simulations. The changes improve business value by enabling more accurate noise/instrumentation modeling and reducing CI/runtime costs, accelerating development cycles and user adoption.
November 2024
9 Commits • 6 Features
Nov 1, 2024In November 2024, pasqal-io/qadence delivered a set of targeted feature enhancements and reliability fixes that significantly improve the realism, flexibility, and maintainability of quantum simulations. Key work spanned backends (Pyqtorch and Pyq), Qadence noise modeling, and core estimation workflows, all aimed at delivering higher fidelity results with clear business value in simulation accuracy and open-system modeling.
9 Commits • 6 Features
Nov 1, 2024In November 2024, pasqal-io/qadence delivered a set of targeted feature enhancements and reliability fixes that significantly improve the realism, flexibility, and maintainability of quantum simulations. Key work spanned backends (Pyqtorch and Pyq), Qadence noise modeling, and core estimation workflows, all aimed at delivering higher fidelity results with clear business value in simulation accuracy and open-system modeling.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for pasqal-io/qadence: Core work focused on improving quantum noise modeling through a new NoiseHandler class, refactoring, testing, and documentation. This lays the groundwork for robust, multi-backend noise simulations and accelerates experimentation with complex noise scenarios.
October 2024
1 Commits • 1 Features
Oct 1, 20242024-10 monthly summary for pasqal-io/qadence: Core work focused on improving quantum noise modeling through a new NoiseHandler class, refactoring, testing, and documentation. This lays the groundwork for robust, multi-backend noise simulations and accelerates experimentation with complex noise scenarios.
Activity
Loading activity data...
Quality Metrics
Correctness91.8%
Maintainability87.4%
Architecture86.0%
Performance79.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JAXJinjaLatexMarkdownPyTorchPytestPythonSQLTOML
Technical Skills
API DesignAlgorithm RefactoringAutomatic DifferentiationBackend DevelopmentBug FixingCallback ManagementCircuit SimulationCode DesignCode RefactoringCode RenamingConfiguration HandlingDependency ManagementDifferentiable ProgrammingDocumentationDocumentation Update
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline