v1.1.0 Release: Integration of Reinforcement Learning Model and minor enhancements

With this version, MQT Predictor is extended by a reinforcement based learning model.
This model enables the user to compile their quantum circuit based on both the TKET and Qiskit compilers in one compilation flow aiming for better result quality.

Additionally, a few enhancements of the code structure in general are added.

What's Changed

• ✨Add rl extension by @nquetschlich in #44
• ✨Improve and restructure ml part by @nquetschlich in #43
• ✨added codecov badge by @nquetschlich in #30
• 👷 update github publish to pypi action by @nquetschlich in #31
• 💡 added reference to arxiv by @nquetschlich in #32
• 📦 support versioning in git by @nquetschlich in #37
• ✨ added mqt logo files and respective part in readme by @nquetschlich in #45

Full Changelog: v1.0.1...v1.1.0

v1.0.1 Release: Bugfixing

What's Changed

• Path too long error by @nquetschlich in #29

Full Changelog: v1.0.0...v1.0.1

v1.0.0 Release: Initial Release

This is the initial release for MQT Predictor.