Update paper source

CITATION.cff

@@ -8,8 +8,7 @@ license: Apache-2.0
 repository-code: https://github.com/sQUlearn/squlearn
 preferred-citation:
   type: article
-  status: preprint
-  title: "sQUlearn - A Python Library for Quantum Machine Learning"
+  title: "sQUlearn: A Python Library for Quantum Machine Learning"
   authors:
     - family-names: Kreplin
       given-names: David A.
@@ -35,7 +34,12 @@ preferred-citation:
       given-names: Marco
       orcid: https://orcid.org/0000-0002-1276-5655
       affiliation: Fraunhofer Institute for Manufacturing Engineering and Automation IPA
-  year: 2023
-  month: 11
-  doi: 10.48550/arXiv.2311.08990 
-  url: https://arxiv.org/abs/2311.08990
+  journal: "IEEE Software"
+  start: 65
+  end: 72
+  issue: 5
+  volume: 42
+  year: 2025
+  month: 1
+  doi: 10.1109/MS.2025.3527736
+  url: https://ieeexplore.ieee.org/document/10841386

README.md

@@ -49,7 +49,7 @@ sQUlearn is released under the [Apache License 2.0](https://github.com/sQUlearn/
 ## Cite sQUlearn
 If you use sQUlearn in your work, please cite our paper:
 
-> Kreplin, D. A., Willmann, M., Schnabel, J., Rapp, F., Hagelüken, M., & Roth, M. (2023). sQUlearn - A Python Library for Quantum Machine Learning. [https://doi.org/10.48550/arXiv.2311.08990](https://doi.org/10.48550/arXiv.2311.08990)
+> Kreplin, D. A., Willmann, M., Schnabel, J., Rapp, F., Hagelüken, M., & Roth, M. (2025). sQUlearn: A Python Library for Quantum Machine Learning. *IEEE Software, 42*(5), 65–72. [https://doi.org/10.1109/MS.2025.3527736](https://doi.org/10.1109/MS.2025.3527736)
 
 ## Contact
 This project is maintained by the quantum computing group at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA.

pyproject.toml

@@ -75,7 +75,8 @@ docs = [
 ]
 
 [project.urls]
-Homepage = "https://github.com/sQUlearn/squlearn"
+github = "https://github.com/sQUlearn/squlearn"
+documentation = "https://squlearn.github.io"
 
 [tool.black]
 line-length=99