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Peter Shen

PROFILE

Peter Shen

Worked on the microsoft/azure-quantum-python repository, focusing on improving end-to-end test reliability and enhancing API consistency for quantum computing workflows. Addressed test flakiness by updating expected status codes and qubit counts in Python-based test suites, ensuring alignment with actual hardware and software behavior. This resulted in a more stable continuous integration pipeline and faster feedback cycles. Additionally, contributed to the Pasqal target integration by renaming a key parameter to match standard quantum computing terminology, reducing integration friction and supporting device-agnostic development. Leveraged skills in Python programming, end-to-end testing, and quantum computing to deliver targeted, maintainable improvements.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
6
Activity Months2

Your Network

4730 people

Same Organization

@microsoft.com
4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

In March 2026, delivered API naming consistency for Pasqal target by renaming the parameter from 'count' to 'shots' in the Pasqal target class; this aligns with standard quantum computing terminology, reducing integration friction and improving API consistency across devices. No major bugs fixed this month. Overall impact: smoother onboarding for Pasqal users, cleaner codebase, and groundwork for device-agnostic naming conventions in the Azure Quantum Python SDK.

May 2025

1 Commits

May 1, 2025

May 2025 Monthly Summary: Delivered improvements to end-to-end test reliability for microsoft/azure-quantum-python by aligning expected status codes and qubit counts with the actual system behavior, reducing test flakiness and strengthening release readiness. This involved updating end-to-end test scenarios to reflect real hardware/software conditions, resulting in a more deterministic CI pipeline and faster feedback cycles.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

End-to-End TestingPythonPython programmingTestingquantum computing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

microsoft/azure-quantum-python

May 2025 Mar 2026
2 Months active

Languages Used

Python

Technical Skills

End-to-End TestingPythonTestingPython programmingquantum computing