
Worked on the qibolab and qibocal repositories to deliver robust backend and firmware enhancements for quantum hardware control using Python. Developed advanced unit conversion, pulse sequencing, and VirtualZ support, enabling precise frequency and phase management as well as improved flux control on RFSoC platforms. Refactored sequencing logic to increase timing accuracy and reliability, while strengthening error handling and maintainability through code refactoring and type hinting. Enhanced data acquisition workflows by adding configurable shot counts for Ramsey experiments, improving automation and reproducibility. Focused on bug fixing, signal processing, and hardware integration, resulting in more reliable measurements and streamlined experimental cycles.
December 2025 performance summary for qibocal: Delivered a critical enhancement to Ramsey signal acquisition by adding nshots parameter support, enabling precise control over shot counts and improved experimental configurability. The change is tracked under commit d772a37a56babd2e513017d8766bcc7ec162eb14 ("nshots fixfor ramsey signal"). This work enables faster, more reproducible Ramsey experiments and improves data quality by reducing manual tuning and configuration errors.
December 2025 performance summary for qibocal: Delivered a critical enhancement to Ramsey signal acquisition by adding nshots parameter support, enabling precise control over shot counts and improved experimental configurability. The change is tracked under commit d772a37a56babd2e513017d8766bcc7ec162eb14 ("nshots fixfor ramsey signal"). This work enables faster, more reproducible Ramsey experiments and improves data quality by reducing manual tuning and configuration errors.
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.
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 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.
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.

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