CESGA-Quantum-Spain/cunqa
Nov 2024 – Dec 2024
2 Months active
Languages Used
C++PythonBash
Technical Skills
API DevelopmentBuild SystemsC++Pythonpybind11Backend Simulation
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PROFILE
C6rvhwzttbjcj3lqqcudzjtarvxewnh95+8y/wxwyfw=
Over two months, Alberto Carballido developed foundational features for the CESGA-Quantum-Spain/cunqa repository, focusing on enabling Python-based interaction with a C++ quantum backend and establishing a scalable distributed simulation environment. He implemented Python bindings for the C++ Client module using pybind11, allowing Python users to connect, send data, and retrieve results from the backend. In the following month, he refactored the codebase, introduced modular backend options, and integrated Dask for distributed quantum simulation. Working primarily in Python and C++, Alberto’s contributions improved accessibility, maintainability, and scalability, laying the groundwork for robust multi-node quantum computing workflows without introducing major bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
18,889
Activity Months2
Your Network
12 peopleSame Organization
@c7-1.cluster.lan.cesga.es1
Shared Repositories
11
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 performance review-ready monthly summary for CESGA-Quantum-Spain/cunqa. Key feature delivered: Distributed Quantum Simulation Foundation with foundational restructuring, including new modules backend_options, cluster, and dask_cluster, plus a default calibration file to support a scalable distributed simulation environment. No documented major bug fixes for this period; maintenance focused on code cleanup and removal of unused imports to reduce risk. Overall impact: established a scalable, maintainable foundation for multi-node quantum simulations, enabling future performance improvements and easier onboarding. Technologies/skills demonstrated: Python, modular architecture, distributed computing (Dask), backend design, code refactoring, and calibration tooling.
1 Commits • 1 Features
Dec 1, 2024December 2024 performance review-ready monthly summary for CESGA-Quantum-Spain/cunqa. Key feature delivered: Distributed Quantum Simulation Foundation with foundational restructuring, including new modules backend_options, cluster, and dask_cluster, plus a default calibration file to support a scalable distributed simulation environment. No documented major bug fixes for this period; maintenance focused on code cleanup and removal of unused imports to reduce risk. Overall impact: established a scalable, maintainable foundation for multi-node quantum simulations, enabling future performance improvements and easier onboarding. Technologies/skills demonstrated: Python, modular architecture, distributed computing (Dask), backend design, code refactoring, and calibration tooling.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for CESGA-Quantum-Spain/cunqa focusing on the Python bindings for the C++ Client module to enable Python users to interact with the backend via pybind11. Delivered initial binding surface and prepared for Python-based workflows; no major bug fixes this period; the main value is broader accessibility and a foundation for scripting and integration.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for CESGA-Quantum-Spain/cunqa focusing on the Python bindings for the C++ Client module to enable Python users to interact with the backend via pybind11. Delivered initial binding surface and prepared for Python-based workflows; no major bug fixes this period; the main value is broader accessibility and a foundation for scripting and integration.
Activity
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Quality Metrics
Correctness70.0%
Maintainability80.0%
Architecture90.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++Python
Technical Skills
API DevelopmentBackend SimulationBuild SystemsC++DaskDistributed ComputingPythonQiskitQuantum ComputingZMQpybind11
Repositories Contributed To
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