amazon-braket/amazon-braket-sdk-python
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
API DesignNoise ModelingQuantum ComputingSoftware Development
Sai Nandan Morapakula
PROFILE
Sai Nandan Morapakula
Developed a targeted readout noise modeling feature for the amazon-braket-sdk-python repository, focusing on enhancing the realism of quantum circuit simulations. Leveraging Python and expertise in API design and noise modeling, introduced the MeasureCriteria class to enable granular control over applying readout noise to specific measurement instructions. This approach integrated MeasureCriteria with the existing NoiseModel, allowing users to simulate measurement errors more precisely within quantum computing experiments. The work addressed the need for more accurate benchmarking of error mitigation strategies by supporting selective noise application, resulting in a focused code contribution that improved the flexibility and reliability of quantum noise simulations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
440
Activity Months1
Your Network
11 peopleShared Repositories
11
AltanaliMember
aniksd-braketMember
Seemanta BhattacharjeeMember
ciMember
Davinder JollyMember
kochengracMember
Jacob FeldmanMember
Jeff HeckeyMember
robotastrayMember
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered targeted readout noise modeling capability in the amazon-braket-sdk-python, enabling granular control over applying readout noise to specific measurement instructions via the new MeasureCriteria class and integration with NoiseModel. This enhancement improves the realism of noise simulations for quantum experiments and supports more reliable benchmarking of error mitigation strategies. No major bugs reported this month.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered targeted readout noise modeling capability in the amazon-braket-sdk-python, enabling granular control over applying readout noise to specific measurement instructions via the new MeasureCriteria class and integration with NoiseModel. This enhancement improves the realism of noise simulations for quantum experiments and supports more reliable benchmarking of error mitigation strategies. No major bugs reported this month.
June 2025
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DesignNoise ModelingQuantum ComputingSoftware Development
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