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antalszava

PROFILE

Antalszava

Contributed to the PennyLaneAI/qml repository by enhancing the Quantum Phase Estimation (QPE) tutorial, specifically improving the accuracy of the Quantum Fourier Transform (QFT) summation. The work involved adding an explicit upper bound to the summation expression, clarifying the mathematical formulation and increasing the reliability of QPE workflows for users. This feature was implemented using Python and required a solid understanding of algorithm design and quantum computing concepts. The developer demonstrated effective collaboration through co-authored commits and maintained clear commit messaging. The contribution focused on refining educational resources, ensuring that quantum computing tutorials are both precise and accessible for learners.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
6
Activity Months1

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

Month: 2025-12 — Performance review-ready monthly summary for PennyLaneAI/qml focusing on delivered features, major fixes, impact, and skills demonstrated.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Pythonalgorithm designquantum computing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

PennyLaneAI/qml

Dec 2025 Dec 2025
1 Month active

Languages Used

Python

Technical Skills

Pythonalgorithm designquantum computing