Bump version 0.3.0

[TheoLaudatQM]

Added

• Added support for Python 3.13.

Fixed

• parameters: Use qualibrate.core.parameters instead of removed qualibrate.parameters (fixes ModuleNotFoundError with current qualibrate API).
• analysis/fitting - allows the fit to converge even if the exponential is inverted.
• analysis/fitting - fit oscillations in a more robust manner.

Changed

• Raise minimum qualibrate to 1.0.2 and require Python >=3.10 to align with qualibrate.
• data/fetcher: Switch result fetching from qm-qua dependent qm_qua.QmJob.fetch_all to qualang_tools dependent qualang_tools.results.fetching_tool.
• data/fetcher: Use fetching_tool to retrieve acquisition metadata (e.g., is_processing() and get_start_times()).
• data/fetcher: Apply ignore_handles filtering in __init__ to reduce overhead in retrieve_latest_data.