qua-platform/qua-libs
Jan 2025 – Jan 2025
1 Month active
Languages Used
PythonQUA
Technical Skills
PythonQUAQuantum AlgorithmsQuantum ComputingQuantum ControlQuantum Error Correction
Ziwen Huang
PROFILE
Ziwen Huang
Ziwen Huang developed a Two-Qubit Randomized Benchmarking capability for the qua-platform/qua-libs repository, focusing on precise characterization of two-qubit gate performance using Cross-Resonance CNOTs. The work integrated sequence generation, hardware configuration, and a QUA program to enable end-to-end benchmarking experiments, supporting calibration and optimization workflows for quantum control stacks. Ziwen applied expertise in Python and QUA programming, as well as quantum hardware integration, to deliver a robust and scalable solution. The feature was delivered with disciplined versioning and traceability, establishing a technical foundation for multi-qubit benchmarking and contributing depth to the platform’s quantum error correction and control capabilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,688
Activity Months1
Your Network
75 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 – qua-platform/qua-libs: Delivered a robust Two-Qubit Randomized Benchmarking capability using Cross-Resonance CNOTs. End-to-end RB flow includes sequence generation, hardware configuration, and a QUA program to run experiments, enabling precise characterization of two-qubit gate performance. The work is captured by commit f91ac2ddff551196772c038e323e143ee4aa6e2d (#276). No major bugs fixed this month; focus was on feature delivery and code quality. Impact: establishes a scalable foundation for multi-qubit benchmarking, informs calibration workflows and performance dashboards, accelerating readiness of the quantum control stack. Technologies/skills demonstrated: QUA programming, Cross-Resonance CNOT control, hardware-software integration, and disciplined versioning.
1 Commits • 1 Features
Jan 1, 2025January 2025 – qua-platform/qua-libs: Delivered a robust Two-Qubit Randomized Benchmarking capability using Cross-Resonance CNOTs. End-to-end RB flow includes sequence generation, hardware configuration, and a QUA program to run experiments, enabling precise characterization of two-qubit gate performance. The work is captured by commit f91ac2ddff551196772c038e323e143ee4aa6e2d (#276). No major bugs fixed this month; focus was on feature delivery and code quality. Impact: establishes a scalable foundation for multi-qubit benchmarking, informs calibration workflows and performance dashboards, accelerating readiness of the quantum control stack. Technologies/skills demonstrated: QUA programming, Cross-Resonance CNOT control, hardware-software integration, and disciplined versioning.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonQUA
Technical Skills
PythonQUAQuantum AlgorithmsQuantum ComputingQuantum ControlQuantum Error CorrectionQuantum HardwareQuantum Information
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline