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@@ -4,6 +4,23 @@ This document describes breaking changes and how to upgrade. For a complete list
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## [Unreleased]
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## [2.3.0] - 2025-07-29
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In this release, we have migrated to using Qiskit's `Target` class to represent quantum devices.
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This change allows for better compatibility with the latest MQT Bench version and improves the overall usability of the library.
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Beyond that, we also support Qiskit v2 now.
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Furthermore, both the ML and RL parts of MQT Predictor have been refactored to enhance their functionality and usability:
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The ML setup has been simplified and streamlined, making it easier to use and integrate into your workflows.
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The RL action handling has been updated to utilize dataclasses, which improves the structure and clarity of the code, making it easier to understand and maintain.
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### General
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MQT Bench has moved to the [munich-quantum-toolkit](https://github.com/munich-quantum-toolkit) GitHub organization under https://github.com/munich-quantum-toolkit/predictor.
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While most links should be automatically redirected, please update any links in your code to point to the new location.
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All links in the documentation have been updated accordingly.
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