qua-platform/CS_installations
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Configuration ManagementData AcquisitionEmbedded SystemsPython ScriptingQuantum ComputingSignal Processing
Kyung-hoon-Jung0
PROFILE
Kyung-hoon-jung0
Developed new Time-of-Flight measurement tooling for MW-FEM (OPX1000) within the qua-platform/CS_installations repository, focusing on Python scripting and configuration management for both single and multi-resonator setups. The work included building data acquisition workflows and visualization tools to capture and analyze raw ADC traces, enabling more efficient and reliable ToF estimation. Deprecated legacy scripts to consolidate on a maintainable, scalable implementation, improving code hygiene and future extensibility. Leveraged skills in embedded systems, signal processing, and quantum computing to deliver a feature that streamlines MW-FEM measurements, reflecting a focused and technically deep contribution over the course of the month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
2,512
Activity Months1
Your Network
16 peopleWork History
October 2025
2 Commits • 1 Features
Oct 1, 2025Monthly work summary for Oct 2025 focusing on qua-platform/CS_installations. Delivered new Time-of-Flight (ToF) measurement tooling for MW-FEM (OPX1000) with Python scripts, configuration for single and multi-resonator setups, and visualization tools to capture and analyze raw ADC traces for ToF estimation. Also deprecated the legacy ToF MW-FEM scripts (KH_251016), consolidating on newer implementations to improve maintainability and future scalability.
2 Commits • 1 Features
Oct 1, 2025Monthly work summary for Oct 2025 focusing on qua-platform/CS_installations. Delivered new Time-of-Flight (ToF) measurement tooling for MW-FEM (OPX1000) with Python scripts, configuration for single and multi-resonator setups, and visualization tools to capture and analyze raw ADC traces for ToF estimation. Also deprecated the legacy ToF MW-FEM scripts (KH_251016), consolidating on newer implementations to improve maintainability and future scalability.
October 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Configuration ManagementData AcquisitionEmbedded SystemsPython ScriptingQuantum ComputingSignal Processing
Repositories Contributed To
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