Antal Száva enhanced the QPE tutorial in the PennyLaneAI/qml repository by introducing an upper bound to the quantum Fourier transform (QFT) summation, directly improving the accuracy and reliability of the tutorial’s quantum phase estimation workflows. This contribution required careful algorithm design and a strong understanding of quantum computing concepts, implemented using Python. Antal collaborated closely with co-authors, maintaining clear commit messaging and proper attribution throughout the development process. The work addressed a subtle but impactful issue in the tutorial’s mathematical formulation, demonstrating attention to detail and a methodical approach to improving educational resources for quantum algorithm practitioners.