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
Developed a comprehensive 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 encompassed end-to-end sequence generation, hardware configuration, and implementation of a QUA program to execute benchmarking experiments, establishing a scalable foundation for multi-qubit calibration and performance analysis. Leveraging expertise in Python, QUA, and quantum control, the developer integrated hardware and software components to streamline experimental workflows. The feature was delivered with disciplined versioning and traceability, supporting robust calibration and optimization processes within the quantum control stack and accelerating readiness for advanced quantum hardware deployments.
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
121 peopleSame Organization
@u.northwestern.edu114
Shared Repositories
7
BradColeQMMember
JacobFastQMMember
sam-vizvary-QMMember
Serwan AsaadMember
soonqmMember
Tomer-FironMember
TorbjornRasmussenQMMember
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
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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
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