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✏️ fix a couple minor details
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burgholzer committed May 30, 2024
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2 changes: 1 addition & 1 deletion docs/handbook/06_implementations.md
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# Open-Source Implementations

All tools that have been developed as part of the _MQT_ are publicly available on [github.com/cda-tum](https://github.com/cda-tum}{github.com/cda-tum).
All tools that have been developed as part of the _MQT_ are publicly available on [github.com/cda-tum](https://github.com/cda-tum).
Many of these tools are powered by MQT Core, which forms the backbone of the entire toolkit.
It features a comprehensive intermediate representation for quantum computations as well as a state-of-the-art decision diagram package for quantum computing and a dedicated ZX-calculus library.

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2 changes: 1 addition & 1 deletion docs/handbook/07_conclusions.md
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Expand Up @@ -11,7 +11,7 @@ As the quantum computing landscape advances towards _Fault-Tolerant Quantum Comp
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We thank everyone that contributed to the development of the _Munich Quantum Toolkit_.
We thank everyone who contributed to the development of the _Munich Quantum Toolkit_.
Special thanks go to Alwin Zulehner, Stefan Hillmich, Thomas Grurl, Hartwig Bauer, Sarah Schneider, Smaran Adarsh, and Alexander Ploier for their specific contributions in the past.

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2 changes: 1 addition & 1 deletion docs/index.md
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Expand Up @@ -20,7 +20,7 @@ Many of the problems to be tackled in that regard are similar to design problems
The _[Munich Quantum Toolkit (MQT)](https://mqt.readthedocs.io)_ is a collection of software tools for quantum computing developed by the [Chair for Design Automation](https://www.cda.cit.tum.de/) at the [Technical University of Munich](https://www.tum.de/) which explicitly utilizes this design automation expertise.
Our overarching objective is to provide solutions for design tasks across the entire quantum software stack.
This entails high-level support for end users in realizing their _applications_, efficient methods for the _classical simulation_, _compilation_, and _verification_ of quantum circuits, tools for _quantum error correction_, support for _physical design_, and more.
These methods are supported by corresponding _data structures_ (such as decision diagrams) and _core methods_ (such as SAT encodings/solvers).
These methods are supported by corresponding _data structures_ (such as decision diagrams or the ZX-calculus) and _core methods_ (such as SAT encodings/solvers).
All of the developed tools are available as open-source implementations and are hosted on [github.com/cda-tum](https://github.com/cda-tum).

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