NVIDIA/cuda-quantum
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++CMakePythonShell
Technical Skills
Backend IntegrationC++ DevelopmentCMakePython DevelopmentQuantum ComputingREST API Integration
HanaGiatQM
PROFILE
Hanagiatqm
During July 2025, Hana Giat developed Quantum Machines backend integration for the NVIDIA/cuda-quantum repository, expanding backend support and cross-language usability. She implemented a server helper to enable compilation and execution of quantum circuits on Quantum Machines infrastructure, supporting both emulation and real hardware. Her work included CMake configuration updates and example usage in C++ and Python, ensuring seamless integration and reproducibility. By focusing on backend integration, REST API communication, and unit testing, Hana improved build and deployment workflows, allowing CUDA Quantum users to leverage new hardware targets and accelerating end-to-end quantum computing workflows with enhanced portability and user experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
727
Activity Months1
Your Network
40 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 NVIDIA/cuda-quantum monthly summary focused on delivering business value through expanded backend support and cross-language usability. Implemented Quantum Machines backend integration for CUDA Quantum, enabling compilation and execution of quantum circuits on Quantum Machines infrastructure (emulation and real hardware) via a dedicated server helper, alongside CMake configurations and example usage in both C++ and Python. This work broadens backend portability, accelerates end-to-end workflows, and strengthens the quantum ecosystem for CUDA Quantum users.
1 Commits • 1 Features
Jul 1, 2025July 2025 NVIDIA/cuda-quantum monthly summary focused on delivering business value through expanded backend support and cross-language usability. Implemented Quantum Machines backend integration for CUDA Quantum, enabling compilation and execution of quantum circuits on Quantum Machines infrastructure (emulation and real hardware) via a dedicated server helper, alongside CMake configurations and example usage in both C++ and Python. This work broadens backend portability, accelerates end-to-end workflows, and strengthens the quantum ecosystem for CUDA Quantum users.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePythonShell
Technical Skills
Backend IntegrationC++ DevelopmentCMakePython DevelopmentQuantum ComputingREST API IntegrationUnit Testing
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