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
Developed Quantum Machines backend integration for the NVIDIA/cuda-quantum repository, enabling users to compile and execute quantum circuits on Quantum Machines infrastructure through both emulation and real hardware. The work involved implementing a dedicated server helper, updating CMake configurations, and providing example usage in C++ and Python to demonstrate cross-language compatibility. Focused on backend integration and REST API communication, the solution enhanced backend portability and streamlined end-to-end quantum workflows. By improving build and deployment processes to support the new backend target, the contribution strengthened CUDA Quantum’s ecosystem and improved reproducibility for users working with advanced quantum computing environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
727
Activity Months1
Your Network
55 peopleWork 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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