NVIDIA/cuda-quantum
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++CMakePythonRSTShell
Technical Skills
API IntegrationBackend DevelopmentC++CI/CDCMakeCloud Computing
Aleksander Wennersteen
PROFILE
Aleksander Wennersteen
During February 2025, Anders Wennersteen developed Pasqal hardware target support for the NVIDIA/cuda-quantum repository, enabling users to submit and execute quantum workloads on the Pasqal cloud platform. He engineered cross-language interfaces in C++ and Python, updated the build system using CMake, and integrated comprehensive end-to-end tests to ensure reliability. Anders also revised documentation to support new workflows, focusing on seamless user experience and platform compatibility. His work expanded the platform’s hardware reach and improved workflow robustness, demonstrating depth in backend development, API integration, and cloud computing. The feature was delivered with traceable commits and thorough integration into existing systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
778
Activity Months1
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — NVIDIA/cuda-quantum: Delivered Pasqal hardware target support, enabling submission and execution of quantum workloads on Pasqal via C++ and Python interfaces to the Pasqal cloud platform. This work included documentation updates, build-system changes, and integration tests to ensure end-to-end reliability. No major bugs fixed in this repository for the month. Overall impact: expands hardware compatibility to attract more users and workloads, improves end-to-end workflow, and strengthens platform reliability. Technologies/skills demonstrated: cross-language interface development (C++/Python), cloud/platform integration, build-system configuration, documentation, and test automation.
1 Commits • 1 Features
Feb 1, 2025February 2025 — NVIDIA/cuda-quantum: Delivered Pasqal hardware target support, enabling submission and execution of quantum workloads on Pasqal via C++ and Python interfaces to the Pasqal cloud platform. This work included documentation updates, build-system changes, and integration tests to ensure end-to-end reliability. No major bugs fixed in this repository for the month. Overall impact: expands hardware compatibility to attract more users and workloads, improves end-to-end workflow, and strengthens platform reliability. Technologies/skills demonstrated: cross-language interface development (C++/Python), cloud/platform integration, build-system configuration, documentation, and test automation.
February 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePythonRSTShell
Technical Skills
API IntegrationBackend DevelopmentC++CI/CDCMakeCloud ComputingPythonQuantum Computing
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