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Update Publications Section in README.md #75

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Update Publications Section in README.md
Marvmann Sep 15, 2023
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Update Publication Section in index.rst
Marvmann Sep 15, 2023
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -5,9 +5,9 @@ QUARK supports various applications, like the traveling salesperson problem (TSP
It also features different solvers (e.g., simulated /quantum annealing and the quantum approximate optimization algorithm (QAOA)), quantum devices (e.g., IonQ and Rigetti), and simulators.
It is designed to be easily extendable in all of its components: applications, mappings, solvers, devices, and any other custom modules.

## Paper
Details about the motivations for the framework can be found in the accompanying QUARK paper: https://arxiv.org/abs/2202.03028.
Even though the architecture changed significantly with the 2.0 release of QUARK, the guiding principles still remain.
## Publications
Details about the motivations for the original framework can be found in the [accompanying QUARK paper from Finžgar et al](https://arxiv.org/abs/2202.03028).
Even though the architecture changes significantly from QUARK 1.0 to 2.0, the guiding principles still remain. The most recent publication from [Kiwit et al.](https://arxiv.org/abs/2308.04082) provides an updated overview of the functionalities and quantum machine learning features of QUARK 2.0.

## Documentation
Documentation with a tutorial and developer guidelines can be found here: https://quark-framework.readthedocs.io/en/dev/.
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6 changes: 2 additions & 4 deletions docs/index.rst
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Expand Up @@ -21,12 +21,10 @@ to mathematical formulations, solvers, hardware or other custom module definitio
:width: 700
:alt: Architecture of the QUARK framework

Paper
Publications
======

Details about the motivations for the QUARK framework can be found in the accompanying paper (`arXiv link
<https://arxiv.org/abs/2202.03028>`_). Even though the architecture changed quite significantly with the 2.0 release of QUARK, the guiding principles still remain.
The data used for the paper can be found in ``results/results.csv``.
Details about the motivations for the original framework can be found in the [accompanying QUARK paper from Finžgar et al](https://arxiv.org/abs/2202.03028). The data used for the paper can be found in ``results/results.csv``. Even though the architecture changes significantly from QUARK 1.0 to 2.0, the guiding principles still remain. The most recent publication from [Kiwit et al.](https://arxiv.org/abs/2308.04082) provides an updated overview of the functionalities and quantum machine learning features of QUARK 2.0.

.. toctree::
:maxdepth: 2
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