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
Kyunghoon Jung developed new Time-of-Flight measurement tooling for the qua-platform/CS_installations repository, focusing on MW-FEM (OPX1000) systems. He designed Python scripts and configuration management for both single and multi-resonator setups, enabling robust data acquisition and signal processing workflows. His work included building visualization tools to capture and analyze raw ADC traces, streamlining the estimation of Time-of-Flight and improving measurement reliability. By deprecating legacy scripts and consolidating on the new implementation, Kyunghoon enhanced code maintainability and scalability. The project demonstrated depth in embedded systems and quantum computing, addressing both technical requirements and long-term maintainability within the codebase.
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
12 people
Work 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
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