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Rodolfo Carobene

PROFILE

Rodolfo Carobene

Rodolfo Carobene developed advanced pulse sequencing and control features for the qiboteam/qibolab repository, focusing on robust frequency and phase handling for quantum experiments. He implemented enhancements in unit conversion, sweeper processing, and support for new pulse types, using Python and leveraging skills in backend development and signal processing. His work included refactoring firmware sequence conversion, improving error handling, and strengthening hardware sweep reliability. By addressing critical bugs and refining overlap detection, Rodolfo enabled more accurate and complex pulse configurations. These contributions improved system reliability, reduced experimental uncertainty, and established a maintainable foundation for scaling quantum control on RFSoC platforms.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

21Total
Bugs
3
Commits
21
Features
3
Lines of code
1,271
Activity Months2

Work History

October 2025

5 Commits • 1 Features

Oct 1, 2025

Month 2025-10: Delivered core feature enhancements to qibolab focusing on Pulse Sequencing and VirtualZ support, improved hardware sweep reliability through overlap handling refinements, and simplified error handling by removing a non-functional KeyboardInterrupt retry path. These changes increase timing accuracy, robustness of firmware sequence conversion, and overall system reliability, enabling more complex pulse configurations and reducing maintenance overhead. Business value is reflected in higher test accuracy, fewer false negatives during hardware sweeps, and a cleaner, more extensible codebase for future pulse types.

September 2025

16 Commits • 2 Features

Sep 1, 2025

September 2025 monthly summary for qibolab focused on delivering robust control and expanding pulse handling, with a strong emphasis on business value and system reliability. Deliveries include advanced unit conversion and sweeper handling to improve frequency/phase accuracy, enhanced pulse type support and flux control on RFSoC, and comprehensive robustness improvements across pulses, acquisition, and sequencing. These efforts reduce experimental uncertainty, enable more complex experiments, and shorten debugging cycles.

Activity

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Quality Metrics

Correctness82.4%
Maintainability82.8%
Architecture80.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Backend DevelopmentBug FixingCode RefactoringData ConversionDebuggingDocumentationDriver DevelopmentEmbedded SystemsError HandlingFirmware DevelopmentHardware ControlHardware TestingInstrument ControlInstrument Driver DevelopmentLibrary Development

Repositories Contributed To

1 repo

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

qiboteam/qibolab

Sep 2025 Oct 2025
2 Months active

Languages Used

Python

Technical Skills

Backend DevelopmentBug FixingCode RefactoringData ConversionDebuggingDocumentation

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