amazon-braket/amazon-braket-sdk-python
Jun 2025 – Jun 2026
2 Months active
Languages Used
Python
Technical Skills
Algorithm ImplementationBackend DevelopmentQuantum ComputingPythonquantum computingsymbolic mathematics
Seemanta Bhattacharjee
PROFILE
Seemanta Bhattacharjee
Contributed to amazon-braket-sdk-python by developing two core features over two months, focusing on quantum computing and backend development with Python. Delivered factory methods for the AtomArrangement class, enabling users to generate square, rectangular, triangular, honeycomb, and custom Bravais lattices within a defined canvas, which streamlined experiment setup by encapsulating coordinate logic. Later, extended the FreeParameterExpression API to support symbolic mathematics, allowing mathematical operations on parameterized quantum circuits and enhancing the SDK’s expressiveness for variational algorithm research. The work emphasized algorithm implementation, object-oriented design, and unit testing, resulting in improved usability and accelerated prototyping for quantum circuit development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,537
Activity Months2
Your Network
13 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for amazon-braket/amazon-braket-sdk-python. Key deliverable: Symbolic Math for FreeParameterExpression in Quantum Circuits, enabling symbolic math operations for parameterized quantum circuits. No major bugs fixed this month in this repository. Impact: expands expressiveness of the SDK's parameterization features, accelerating prototyping and experimentation for variational quantum algorithms, while reducing manual algebra and potential errors. Technologies demonstrated: Python SDK development, symbolic mathematics integration, FreeParameterExpression API extension, collaboration (co-authored-by in commit).
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for amazon-braket/amazon-braket-sdk-python. Key deliverable: Symbolic Math for FreeParameterExpression in Quantum Circuits, enabling symbolic math operations for parameterized quantum circuits. No major bugs fixed this month in this repository. Impact: expands expressiveness of the SDK's parameterization features, accelerating prototyping and experimentation for variational quantum algorithms, while reducing manual algebra and potential errors. Technologies demonstrated: Python SDK development, symbolic mathematics integration, FreeParameterExpression API extension, collaboration (co-authored-by in commit).
June 2026
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered AtomArrangement Lattice Factory Methods in amazon-braket-sdk-python, enabling generation of square, rectangular, triangular, honeycomb, and custom Bravais lattices within a defined canvas. This removes manual coordinate calculations, reducing boilerplate and accelerating lattice-based experiment setup. No major bugs fixed this month. Impact: faster prototyping of lattice configurations, improved API ergonomics, and easier maintenance. Tech/skills: Python OO design, factory methods, API design, PR #1092 (commit 7e97b5373650ef9540f35eec75bd95064bf727be).
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered AtomArrangement Lattice Factory Methods in amazon-braket-sdk-python, enabling generation of square, rectangular, triangular, honeycomb, and custom Bravais lattices within a defined canvas. This removes manual coordinate calculations, reducing boilerplate and accelerating lattice-based experiment setup. No major bugs fixed this month. Impact: faster prototyping of lattice configurations, improved API ergonomics, and easier maintenance. Tech/skills: Python OO design, factory methods, API design, PR #1092 (commit 7e97b5373650ef9540f35eec75bd95064bf727be).
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationBackend DevelopmentPythonQuantum Computingquantum computingsymbolic mathematicsunit testing
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