Worked on maintenance and stability improvements for the PennyLaneAI/qml repository, focusing on dependency management using Python and Poetry. Addressed a key maintenance task by updating the poetry.lock file, aligning versions for multiple packages to enhance compatibility and reduce dependency-related issues. This update improved the stability and reproducibility of both development and continuous integration environments, mitigating risks associated with outdated or conflicting dependencies. No user-facing features were delivered during this period, but the work ensured smoother onboarding for new contributors and more reliable builds. The approach emphasized routine dependency version updates as a foundation for ongoing project health and maintainability.